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Testimonials

  • Alan Karr

    Head of Digitalization, North America

    “The C3 Agentic AI Platform is a complete, structurally sound platform that brings all the features we were looking for into one place.”

    Transcript

    I've worked a lot with a lot of the language models just on my own person. We have Copilot that's integrated with all of our Microsoft tools, Power BI, I guess you could say. And what I really saw was your platform bringing it all together. So it isn't just a Power BI that you got to add on another feature that adds on another Microsoft application. What I really saw was a complete platform all the way around.

    Platforms are great, but knowing what to do with the data, I think that's what I also saw. It actually brought out a lot of the value of how to step through what you wanted to achieve, and that was the power, I guess you could say, that I saw. I think what really we understood or took away is that you need a platform, and whether you use C3 or whoever, if you're a vendor, you need a platform that's structurally sound to actually pull items from.

  • Jonathan Fuehrer

    Base Operations Reliability Manager

    “What really sets C3 AI apart is that enterprise focus — integrating data independent of where it is in your organization, gathering insights, and making those pieces actionable.”

    Transcript

    So my experience with C3, and in particular, the problem we've been trying to solve, is really how do we speed up the time from an anomaly is detected and diagnosed and ultimately resolved. So we're trying to find things sooner, fix them smaller to reduce equipment downtime. C3 has impacted that through a couple of different ways. One, it consolidates information into a single pane of glass. It automates some of the information gathering.

    Probably most importantly is through the application of generative AI allows us to dive deeper, to integrate our data, to gain insights that would have been much more manual in the past. Everyone today will sell you an AI widget on top of their platform or application or software package. And individually, maybe those are useful, but I think what really sets C3 apart is that enterprise focus, right? Is it's integrating data independent of where it is in your organization. it's gathering those insights and making actionable those pieces kind of independent of where they are.

    and I think that's going to unlock a lot more upside than that siloed application by application approach.

  • Major General (Ret.) Angus Fay

    Managing Director, Squarcle

    “C3 AI’s highly developed, high deployable platform with very configurable applications was the perfect solution for NATO to move at speed for a solution.”

    Transcript

    So, the main opportunity we're working on in partnership with C3 AI is with NATO in the defense space. And the big challenge NATO have got is about credible deterrence. So credible deterrence is about real presence and real visibility of capability, and that's what we're working with. Very complex problem set, and we're working with C3 AI on that to enhance NATO's deterrence. We looked very hard at the right enterprise AI solution for this particular problem set, and it was clear to us that C3 AI, with their highly developed, highly deployable platform with very configurable applications, particularly the contested logistics application, was probably the perfect solution for NATO to move at speed for a solution, and that's what they need.

    So, we've been talking about velocity and deployment. That's exactly what NATO needs. So we're now on contract with NATO and we're now configuring the C3 platform and the contested logistics application to their particular problem set. As all things in life, one of the things that gave us real confidence in C3 AI was the fact that the platform is already deployed in complex environments. And so, if you like dual-use technology, you can take it from highly complex industry and bring it into the defense space.

    Slightly different configuration requirements, but fundamentally it's deployed in those areas. And then I think the second part was the sophistication of the contested logistics application that C3 AI has developed, already deployed with the US Department of War. And so, in many ways, it was an easy choice to partner with them to bring that solution to NATO. One of the great things about partnering with C3 AI is how easy it is for a company like mine, which is effectively a supply chain optimization company, to work with a company that really understands supply chain and the issues around supply chain and logistics. But also they make understanding the technology easy, and so being able to deploy the technology and trusting C3 AI to understand the problem set relative to the technology's capability is the real key to success here.

  • Rob Groat

    EVP Strategy & Tech

    “C3 AI provides an entire enterprise platform that our teams use to solve mission outcomes and very hard problems.”

    Transcript

    One of the things that intrigued me about C3 is the enterprise approach to looking at AI. When you think of the complexity of making AI a strategic enterprise asset, you have to look at the entire life cycle. You have to look at the security components, you have to look at the data pipeline components. You have to look at how you can train the models. You need a lot of capability into a platform to be able to deliver those kind of solutions.

    C3 AI is providing an entire enterprise platform that our teams can use to solve mission outcomes and very hard problems. One of the main reasons that we partnered with C3 was to help our federal customers and Department of War customers get to value quickly. One of the blockers there tends to be security and compliance. We provide the managed services and managed security services to help accredit the environment and help to deliver at very high compliance levels. The administration is really challenging software providers to be able to deliver services rapidly and as fast as possible to meet mission needs, especially since mission's constantly changing and becoming more and more complex.

    We were very excited that we were able to get C3's ATO in under 60 days. This is a process that can take one to two years for several organizations. It's a testament to the security foundation that C3 already had and our ability to rapidly deliver these services. And then when it comes to actually implementation, we were challenged to do a 30-day implementation to provide the accredited environment, have it certified, have it available, and moved into production, and we were able to hit that mark. We supported a federal agency that is inundated with requests for correspondence and getting information out to the public or various stakeholders that are requesting information from them.

    We saw AI as a great opportunity. C3 is the right platform for being able to deploy this, and C3 implemented a capability that delivered that kind of value, and we were able to support them by providing the infrastructure and the services and the ATO accreditation in under 30 days from thought to production.

  • Craig Spacey

    Air Sector, Training & Partnerships Director

    “The investment behind Enterprise AI has delivered compelling outcomes for organizations that we see have the same needs our customers have.”

    Transcript

    The challenges in the market from our customers really are about credible capability. They're about pace and about realizing solutions to real-world problems. We've been looking at the capabilities that exist in the market, and the enterprise AI bet that Tom Siebel made, and the investment that's been made behind that, has delivered compelling outcomes for organizations that we see have the same needs that our customers have. So it's less for us, to be honest, about deep diving into the technology. It's more about looking at the veracity of the outcomes that have been delivered, and there's been some fantastic use cases that we've heard today already, and I'm sure we'll hear more tomorrow.

  • Samir Unni

    Director

    “The C3 AI Type System where you can build the agentic layer has been really powerful.”

    Transcript

    So we're one of C3's partners for implementation on the federal side. So we work with Department of Health and Human Services, most recently on the new real world data platform that the department is setting up. One of the things that was really great was how quickly we were able to move. Everything sort of came together towards the end of September last year. And whenever you work on one of these federal initiatives, there's a ton of pre-work that has to be done before you can even get started, and everybody from the C3 side moved really quickly.

    First of all, purely from a partnership standpoint, we work with a number of different partners on the federal side, and working with the C3 team has been great because there's a level of structure and organization that comes from the size of the company and all the different folks on the team. Whenever you're working with real world data, it's coming from many different sources, and it's not, as the name suggests, going to look necessarily like you want it to, but what it looks like in the real world. And so being able to use the C3 platform to get it into the right shape was an important first step in what we did. But if you don't have the right foundation, you can't do that. So for instance, there are a whole host of compliance requirements in order to be able to host sensitive health data in a federal real world data platform, and that's one of the things where being able to have all that data in C3 and then being able to have the type system on top of which you can build the agentic layer has been really powerful.

  • Amin Manna

    CTO

    “We picked C3 AI as a partner because they have a mature and secure product which is very important in government.”

    Transcript

    In terms of implementation speed, we're living in this crazy new world now where coding agents can build applications from scratch and put them in production on the order of days instead of months and years. One thing that's really exciting about working on top of the C3 platform is that we can build these custom UIs, these powerful tools, this custom logic and business logic in the healthcare space, and have it automatically run at the scale that is needed, leveraging C3's performant databases and security models. When you build an enterprise application, you don't want to be reinventing the wheel every time, and so you don't want to be re-implementing databases from scratch. You don't want to be re-implementing security controls. And working with the government, one thing that we really appreciate about C3 is that it's done that work ahead of time to provide those databases, to provide those back-end security controls and guarantees, alongside the compliance requirements and things like FedRAMP go a long way when you're trying to build production apps that are trusted with the kind of patient data that we work with day to day.

    At Fleet Health, we take the privacy of patients very seriously, and the security of patient data is our topmost priority. It's also a topmost priority for our customers and our partners at HHS and NIH. One of the reasons that we picked C3 as a partner was that their existing mature and secure product is really important when you're selling to government. So we were excited about complementing C3's product with our subject matter expertise and know-how in healthcare, and we thought that together we would make a really good team.

  • Jim Hagemann Snabe

     

    “When you outsource the technology stack to a company like C3 AI, you get the best of two worlds with speed and scale.”

    Transcript

    Digital transformation has been a very important way for companies to transform themselves from the analog world, so to say, of of physical stuff, to add a dimension of, of digital, and with that, create incredible value and new opportunities. The challenge with digital transformation is that it's a transformation that happens at a much higher pace than what we've seen in the physical world, so to say. When you build assets or own assets that live 20 years, you are kind of used to a speed of change that's very slow, and with digital, it becomes digital, hence very rapid. And the hardest part is actually to lead this transformation because you're still producing these very long lived assets, but now you're adding a speed of innovation. On top of that, I believe the right approach is to choose one coherent AI platform that is the choice for the enterprise.

    And then the company focuses on using AI to change the business. And you outsource the technology stack to a company like C3 AI so that you get the best of two worlds. I believe with ai, we probably have the most powerful technology ever in history. I often say that you shouldn't use technology for what it can be used for. You need to use it for what it should be used for.

    And in my mind, what it should be used for is something that improves not only businesses, but also societies. The biggest dilemma with AI is, is really how do you get speed and scale? The first wave of AI was very much decentralized. You would hire data scientists in a department and they would do some pilot projects. They would have high speed, but no scale.

    Then some companies centralized the approach and said, let's now do it centrally. You get a lot of scale, but not a lot of speed because it becomes one long discussion. The right approach is the combination of the two. You need to have speed and scale, and that's basically only possible if you are very firm centrally on the choice of technology. And then you offer decent central use of that technology stack to build and innovate, uh, the opportunities around ai.

    We are at an inflection point in history where we not only have some of the most powerful technologies ever available to human beings with the compute power we have and the data power we have, we can do some amazing things. So this is a huge opportunity to have, uh, value change with less resource consumption, with much more relevance for the user at much lower costs and in a sustainable way. What an opportunity for the world. This is a better business, not a worse business. It's the biggest opportunity in our lifetime.

  • Mark Geisenhoff

     

    “To be able to pull handwritten information and paper records so that we can query and prompt on it is very valuable, and it provides us huge efficiency gains for the future.”

    Transcript

    Flint Hills Resources operates two large and complex refineries. Our group is responsible for mechanical integrity and each of those refineries presents a number of different opportunities and potential problems from a, a damage mechanism and corrosion materials perspective. We have at both of our sites, we have nearly 70 some years of operating history and that history is from, um, many different types of formats. So originally everything was paper records. Everything was handwritten information.

    It's very hard to decipher that information in a efficient manner. It exceeded our expectations, especially on like the handwritten information. To pull that information out and make it a valuable context that we could query on and prompt on in, into the future is, uh, is very valuable. So we see the efficiency gains into the future are gonna be huge.

  • Patrick Pugh

     

    “C3 AI and PwC deploy ready-made, off-the-shelf solutions that deliver long-term, lasting ROI and impact for the enterprise.”

    Transcript

    As part of tech comes data, and as we all know, the data complexity is massive. We have data all over companies. We have, it's unstructured. And if you don't get your arms around the data, you really undermine the opportunity that AI has for our companies. C3, AI and pwc are going to deploy, ready, made off the shelf solutions that make sure that we get the most out of your data, that we get the most out of your technology stack, that we leverage the 131 plus applications that C3 AI has leaning into industry standards and good practices all while making sure we bring your workforce along for the ride.

    As we focus on long-term lasting ROI and impact for the enterprise. Um, we're in the very early stages of it, but so far the impact with our clients has been phenomenal. Companies must have the trust put into the right business partner and the right technology partner to make these transformations happen. So with our industry focused, we're already in the early stages of leaning into a set number of clients while US focused. For now, we're excited to take this globally as we onboard more and more of the member firms within the PWC network.

    Really excited about the direction we're going with PWC and C3 ai. We're gonna be deliberate in where we focus. We're gonna take an industry orientation covering industry such as manufacturing, energy, financial services, and a broader spectrum. We're gonna really invest in taking the time to build solutions that make sense for the industries, keeping them in mind, keeping long-term impact at the heart of everything that we do together.

  • Guillermo Medina

    Pantaleon

    “We’ve had great benefits working with C3 AI, and we are increasing our investment to make AI a part of our transformation process.”

    Transcript

    We know that equipment plus talent equals efficiency. About two or three years ago, we knew that using mathematics and optimization and machine learning algorithms, we would be able to get our productivity up. And so we tried to figure out which partner was going to be the right partner for us. And uh, after a lot of research, we concluded that C3 was going to be a good ally at the beginning of our process. We've had great benefits.

    We've definitely recovered the investment that we made, and we're happy and that's why I'm here. We are keeping our investment in AI and we're increasing our, our investment in ai and also we are making it part of our transformation process in terms of kilograms or percentage of recovery. In a good mill, you might be able to recover 85%, and this process has made us at least half a percent closer just by the AI system. So we're very happy about that. The reality is that you will try some projects and some will fail, but at the end of the day, if you have the right portfolio of projects and there's the CEO guiding this process and you know there's the light at the end of the tunnel, it's a very rewarding process.

  • Jake Frenz

     

    “C3 is helping us connect our patients through our agents and operations with the backend of all our disparate data stores, driving efficiency across the organization.”

    Transcript

    So SmithRx, we are a pharmacy benefit manager a PBM. We handle the drug benefits for U. S. healthcare plans. As an employee of your company you have healthcare benefits.

    SmithRx is that pharmacy benefit manager behind the scenes negotiating for drug pricing and attaching patients with that lowest cost drug option. The problem in, U. S. healthcare is very complex and it's very antiquated and we have to be able to build an infrastructure that connects with those components. And so when we think about the data that we have to work with day to day, and after nine years of running Smith now we have nearly a million members and over 4,500 clients, we have the breadth of data and the kind of the precision data points to be able to connect with patients and direct them down the lowest cost path.

    The challenge with our data with C3 that they're they're helping us with is connecting our patients through our agents and our service operations with the back end of all of our disparate data stores before C3 and and even to some degree right now, it's more of a brute force evolution. I think this is very common with people in health or in many other industries that they have to hire you know, an army of service agents to go make sure that the experience for their patients or or customers is effective. That's really hard to scale. And so that, you know, inefficient model, what we had before had to evolve for us to be able to continue to scale and just drive efficiency across the organization. The benefits for our agents and overall company is definitely from an efficiency ROI standpoint.

    When you think about the cost of revenue or the cost it takes to service our patients, I think more so though we start to deliver the experience that the patients expect. I mean, this is healthcare. It's some of the the most complex and escalated evolutions of our life. When your kid needs that medication or you need it to live. And so to be able to do that where we serve up a very complex data set in an easy to read way, you know, that gives the advocate our our customer service agent, the ability to then focus on the patient.

    We evaluated many AI companies before moving forward with C3. You know, Our criteria here were very stringent, especially around the non hallucination and control of our data. And not many have that infrastructure and C3 going through those initial product reviews you feel an overwhelming amount of confidence that they've been doing this for 14 years. The breadth of different clients is essential to be able to match where Smith is to start thinking about over the horizon, what do we do with all this really rich amazing patient data so that we can help the patient get the care that they need. And this is not something that'll, that'll be done tomorrow.

    We know that U. S. healthcare changes very slowly. It's a runaway train. So my whole point from the very beginning of Smith, and my vision was to create a new pathway forward where we become a new category.

    And I think C3 becomes that enabler to create that category where we've done a lot of great work over the last nine years. We are changing U. S. healthcare. My focus is not to build models.

    And so C3 is the enablement piece there to move to a new new position to deliver this product. That changes, I think all of our lives in America.

  • Ben DuBois

     

    “We love how the C3 team and C3 applications help us get started quickly and get something valuable quickly.”

    Transcript

    Norfolk Iron Metal is a family owned steel company. It started in 1908. We both distribute and fabricate metal products, uh, ranging all the way from carbon steel to stainless steel, aluminum, all different shapes and sizes. So we have use cases really across the whole company. Uh, sales, inventory management, transportation, logistics, warehouse optimization.

    So, uh, yeah, it really kind of touches everything. So we kind of see two camps. One, there are people that already use data, but this will make it easier for them to, to use data and faster. Um, and then the second group is people who don't currently use data, and we're hoping that this, um, makes it easy enough for them to start using it. We have a lot of sales reps that are out on the road.

    The data is just not accessible. They need it while they're mobile, so it's not practical to pull out your laptop, you know, start looking through dashboards and reports. The generative AI platform makes it a lot easier for them to pull out a mobile device like a, a tablet, get their questions answered, and have the data right there for them. When our machine goes down, our operator immediately calls the machine manufacturer and sits on the phone for a couple hours, and for that entire time, our machine is not running. So we want our, uh, operator, assistant, uh, use case to be the first place that they go.

    Even if it can solve 20% to 50% of our, our machine downtime. Um, that, that's, that's huge. Inventory is very important. We're looking for inventory optimization, which is obviously the name. Um, and so we want to obviously limit scenarios where we don't have enough inventory and we limit our sales, and we also wanna limit scenarios where we have too much inventory and it takes time for us to sell that inventory.

    Um, so we're looking for benefits on both sides. The other part is we are selling a commodity. Our purchasing team, uh, is having to make decisions kind of based on gut feel, um, in certain circumstances. So we're trying to include as much of that as possible in the application, um, so that, uh, ultimately we can get to the point where we're automating some of those decisions. We love how the C3 team and the C3 applications help us get started quickly and, and get something that's valuable quickly.

    Uh, but a a big important thing for us in all these projects is we want to be able to build on that. Um, and so being able to use the C3 platform to continue to build on, uh, the projects that we did in a pilot is, is important and we were excited and to continue in that.

  • Venkat Naupada

     

    “Trying to bring together disparate systems with different types of assets and data points is difficult, but C3 AI is phenomenal at being that integrator.”

    Transcript

    We wanted to focus on how we can add AI and AI enabled or digital services to every part of the value chain. Within that exploratory phase, we identified C3 as one of our partners within the industry in, uh, managing and maintaining buildings. Data is one of the most challenging aspects. So you have disparate systems with different types of assets and uh, uh, data points and trying to bring them together is one of the most difficult part of it. And C3 AI is phenomenal at being that integrator.

    During the pilot, we have evaluated various use cases where all these different data sets, which are not connected before, can be brought, brought in and integrated into a common platform. And this platform is helping us see some of the insights around how we can act on, on set data. I truly believe that some of the, uh, applications that are being rolled out were based on the ENT approach by C3 AI, will be phenomenal in terms of where we could go next. I truly believe that as an operating system beyond just as a product to our customers, it can, it can extend into other avenues where we can bring into the front end of the sale itself. So that through and through it could be a business value chain impact.

    We had an opportunity to work with the data team, the solutions team, and uh, different groups, the UI team. But I think the people at C3 AI are one of the best teams that I have worked so far From a pilot standpoint and also from the way they collaborate and they collaborate with us. It's quite impressive. And all of this is ensuring that we have a successful partnership.

  • Candice Ling

     

    “C3 AI and Microsoft share the same strategic vision — it's about continuous improvement on innovation and having domain expertise.”

    Transcript

    There is the platform that Microsoft brings to the table, uh, that has got the suite of ai, that gets to the AI services too. Not just about the AI part, but the Azure services. And then to have something that is built for purpose, whether that's the energy management supply chain, or just law enforcement that comes with C3 ai and knowing that business so that customers don't need to go build on their own is too costly, it's too time consuming. So that time to value sitting on a platform that have all that richness of, I would say, cloud and services with that perspective of a use case and many use cases. That's the beauty of the two marriage, which we love because sometimes you don't just build, you wanna be able to integrate to what is existing, and that's what C3 I plus Microsoft brings to the table.

    And we love that kind of partnership. One thing that just really spoke out to me is along the lines of two shared strategic vision, uh, which is fantastic, right? It's about continuous improvement on innovation, but also the idea of having domain expertise. It's amazing to see when C two I speak about the people, about the customers always coming in with the idea of knowing the industry. I think that partnership is fantastic.

    So depending on the customer and where they want to be and what data and where construct of the app should look like, we can do it all with C3 AI sitting on top of that with the authorization that's already there, uh, through secret, top secret and also on the unclassified, looking at the architecture and looking at the data exchange on where that is, being able to do that and then starting it from a pilot and growing it out into different places and you can apply their policy and get the results and we're just making them successful depending on the mission and can be any mission. Uh, so to me that is about government effectiveness, government efficiency, but also just applying time to value on the mission. I think it's important that as partners to the federal government together there'll be a much better time to value and also the ability to succeed in a much faster pace.

  • Ryan Nguyen

     

    “With C3 AI, we've been able to deliver solutions in days rather than weeks. Partnering with C3 allowed us to get to the next level.”

    Transcript

    What we're doing with C3 is that we're working on developing automated solutions for model-based systems engineering. We were actually solving this internally, we were developing some AI solutions, but one of the challenges that we faced with scale, finding a way to take these capabilities and make them enterprise scale, make them, uh, available across not just our whole enterprise, but other enterprises. And what that would take. Partnering with C3 was allowing us to, uh, meet that criteria and really just get to the level that we couldn't do alone with our current staff. We were originally digesting just the text component, but in there we also had a bunch of different images and we just weren't necessarily getting all of that content out in a clear, uh, understandable format.

    Typically, a model-based system engineer would take a week, week and a half to completely design that system. We've seen with the help of C3 AI that we've been able to deliver solutions in on the order of magnitude of days, one to two days rather than a week, week and a half. I'm most excited about understanding how the newer AI technologies that are coming through, how we can work those into our current stack to build up new use cases, future proofing our, so our solutions, finding ways to adopt maybe reasoning models that we aren't adopting right now. What we plan to do or how we see things is that a subject matter expert needs to be aligned with an AI expert. As we plan to scale up our capabilities, we want to make sure that not only do we have the ability to take our current technology stack and mature it, but we wanna maintain it.

    So one of the keys is we want to be able to find, uh, the right partners to stay along with us. We wanna hire staff that allows us to keep that AI expertise in house and stay paced with the rest of the, uh, industry. And we want to just be one of the leaders, or at least the thought leader in how AI is going to be beneficial for defense. We want to be able to show that not only are we able to adopt that technology, but we can apply it to real world problems.

  • Damian Lara

     

    “C3 AI helped us bridge the gap in our labor shortage, and the quality of work that we're doing is greater than anything we've ever seen in the past.”

    Transcript

    Bernalillo County is a mid-sized county in the middle of New Mexico. Uh, we're about 1100 square miles. Uh, oddly enough, it's one of the smaller counties in New Mexico. Um, but it is the most populous, uh, county in the state, uh, with about 675,000 residents. And we have about, uh, 287,000 parcels, uh, of which of those are roughly 40,000, uh, non-residential or commercial industrial or vacant land parcels budgeted for about 136, uh, full-time equivalent positions.

    Uh, when I took office in January of 2023, we had 85 staff members. Um, that was really one of the biggest challenges that we looked towards C3 AI to help us bridge that gap in, in our labor shortage. We value all property for property tax purposes. Um, again, out of the 287,000 parcels that we have, um, our commercial industrial, all of those make up about 40,000. Our commercial non-residential division should have traditionally about 12 to 15 employees.

    Um, in July of 2022, all but two of them, including the non-residential manager, decided to retire. So it, it, it took a lot of time both to start to rebuild, um, the division for our non-residential department, but also, uh, about 10 years worth of neglect of that department. Um, and so we needed, uh, a different solution to help both with our data, you know, gathering all of the information, you know, 287,000 parcels of information and all of the various characteristics summarizing all of that data, collecting it and identifying the most comparable properties to that. But also with, um, providing the best tools to do the best job, uh, for our staff and employees. Uh, and that's where C3 AI came in to help us bridge that gap.

    And that's cut off, you know, a ton of time, um, that allows, uh, a dedicated team of 12 to 15 people to do 40,000 properties every single year and still provide that excellent customer service. As we've been able to hire more people, uh, to learn the job, we've been able to learn with C3 ai. We're doing a much better job than we were before. The quality of work that we're doing is greater than we've ever seen in the past. You know, you want your people to do the best job.

    You want to give them the best tools, and C3 AI is the best tool for the job.

  • Gaurav Malhotra

     

    “Using the C3 AI applications, we've been able to improve our forecast accuracy by 3-6%, removing 10% of production ambiguity from our system.”

    Transcript

    Nucor is a highly decentralized and autonomous organization, America's most diverse steel and steel products manufacturer and a focus on circular steel economy and focus on sustainability or a sustainable way to make steel. Think about a large organization, like us which is highly decentralized, right? So we're, we're a big steel manufacturer, tons of steel across the company, so that's a big use case across supply chain and working capital. A couple other things we're working on is demand forecasting. So how can we balance our demand for raw materials and predict better?

    Then, inventory optimization which helps us right size our working capital and then helps us, feed our integrated supply chain. We struggle to bring scale of the organization into the picture because there's different realities of our different versions of forecast at each business level. And using the C3 application, we've been able to aggregate all that. And over time as we have done this we've improved our forecast accuracy to the tune of three to 6%, which, if you think about it we have approximately removed about 10% production ambiguity out of our system. So that's a significant working capital improvement for our company.

    And, of the size of millions of dollars I would say significant, at least we're taking complexity and making it simple for the teammate to focus on the right process. We're taking risk out of the business. And then we really like the concept of, how we can leverage the C3 team to break down problems into simple, solvable chunks and how we can leverage a platform. So each problem we solve now helps us get a little closer to the bigger picture solution. And then as we are engaging in more and more applications, that, the data that gets into the system those applications all work together to get inherently better results the more we use them.

    What we've found with the C3 team is it's the people it's the technology, it's a culture fit with our team and we're very in-person culture and so is the C3 team. And we inherently leverage that culture to to basically solve problems together.

  • Allyson Anderson Book

     

    “We've taken a nine month process down to two minutes, saving hundreds of thousands of dollars.”

    Transcript

    We are an energy technology manufacturer and service provider. We have a big portfolio of equipment as well as the field site services. My role in the company is bringing life to our sustainability promises, really bringing the net zero aspect into our commercial offering. And so a big part of where we're headed and part of how we partner with C3 AI is by the use of their application enterprise application for ESG. A really significant pain point for people like me are that all of that data when we've gotta produce, um, a report, right now it's mostly voluntary around the world, but we have some jurisdictions where it's a requirement.

    Those requirements do not match depending on which country that you're in. And so that next piece of work that we hopefully will expand even farther on is to look at how you can go in and read the reg, compare it to the data that you already have available, and see how you're already matched up with the regulation to make your reporting easier. And then end game would be the AI produces the final report. What we've done with C3 is taken a nine month sort of couple people working on it as a part-time job for a couple of months, up to nine months, to us paying an outside group to do this in a matter of two months, and then having way less repeatable, robust data. And now basically with the help this weekend hybrid, uh, people interviews, you interview stakeholders with real time, um, information scraping and polling.

    And we can do that within like two minutes. So if you go for like nine months down to two minutes, hundreds of thousands of dollars to your baseline cost for deploying the C3 solution, it's a pretty big value add. Our partnership between Baker Hughes and C3 is focused in a range of areas, but we have a discreet use case within enabling sustainability reporting as well as thinking of ways that you can reserve your limited human capital for things that only they can do and then use artificial intelligence to take on those tasks that really would be better suited for machine. And so where we're at today is we have worked on a customized solution that could be scaled for a, a variety of different companies, particularly focused on, on reduction of pain points for sustainability reporting.

  • Jeremiah Sadow

    BNY

    “C3 AI helped us reduce false positives by 95%. The results were staggering.”

    Transcript

    Bank of New York is a global, globally systemic, important financial institution. So we have 50 trillion assets under custody, 2 trillion assets under management. We are probably the largest provider of liquidity and transaction banking, um, in the us. So anti-money laundering is actually, uh, historically a rules-based system. Um, the complexity is all these financial institutions have grown up in legacy systems, but the, but the rules are pretty static.

    And so you have customer account transaction systems that need to hit a very defined target. Um, unfortunately there is no unified data model that says, here's how you actually get there. For a transaction monitoring, uh, program, it, it usually takes roughly five years in the order of a hundred millions of dollars to do the data acquisition, the ETL construction, and then actually the testing and verification of those, of those rules. Um, that is just to get there. And then usually the, the results are about 95% false positives.

    So the actual financial crime that companies are catching, um, if they're lucky, is about 4%. And then that just becomes, here's this report after the fact of usually 90 days, we used C3 AI to help us identify when clients specifically change their behavior. We implemented at a previous organization, um, in about three months as opposed to, as opposed to five years. And we reduced false positives by 95%. The results were staggering.

    C3 is a, is a fabulous partner. They really help you identify where the pain points are, the speed implementation, um, I mentioned earlier, around three months. It actually, that's the, that's the timeframe of the actual pilot. Um, the implementation this time was actually over the shoulder, so it took about two weeks. And in those two weeks it was about six hours to actually deliver the application, the, the platform, the application, um, and then have it running In our lab environment.

    There are innumerous use cases. Um, and the speed to value really is how fast can we run and scale this ourselves.

  • Merrill Stoddard

     

    “We're partnering with C3 AI to create a more advanced training solution and offering for our customer, and we're going to see immediate benefit in how our business operates.”

    Transcript

    If you think about the modern battlefield and the defense forces that we're training, there's an immense amount of data that has to be processed and converted in a way that can be quickly analyzed and processed for operational decision making. And I couldn't think of a better value proposition than, than partnering and collaborating with a company like C3 AI, who spent the better part of a couple decades and invested billions of dollars in developing AI technology. And so bringing to bear those two key companies and the capability that we bring, we felt an opportunity here to, to rapidly accelerate some of the AI driven capabilities we were already working. And I think the prospects of where we're going, developing more advanced training solutions beyond the traditional full flight simulators that you may see today, we just saw an opportunity here to really collaborate together. And I'm very, very hopeful about where we're going.

    I think the prospects are, are great for both of us. We don't have years to develop this technology. The, the, the future is now, you know, the geopolitical tensions that are, we're currently experiencing state of affairs across the global environment. Our military forces are in positions that we've never seen before. Facing a, you know, a pure threat with advanced platforms, uh, requires us to update our training models and be more dynamic.

    And so that to us is where we really see a distinct advantage. Creating some distinctive discriminating technology together, I think is where the opportunity exists. Some of the pilot projects we have underway and some of the beta work that we're doing together, uh, we're in our infancy today. If I think about, you know, the technology offerings and the work we're doing to develop together would culminate into a, you know, a, a more advanced training solution and offering to our customer. What also excites me is some of the work we're doing internal into the business, working on our cost effectiveness and our efficiencies and how we develop.

    I think we're gonna see some immediate benefit on how our business operates. That's another piece that excites me that doesn't get talked about a lot, but I think tremendous opportunity exists for us inside the business as well.

  • Stephen (Steve) White

    County of Cobb, Georgia

    “What used to take us six weeks is now going to take us one day. C3 is helping us save a considerable amount of time.”

    Transcript

    Cobb County, uh, has 262,000 real estate parcels, and we are using C3 AI to help generate values for our property appraisal. The assessor's office. Now, there's a lot of things that our appraisers have to look at to make sure that the value is appropriate. The comparables that are driven, um, are the homes really comparable? You gotta look at a lot of things.

    Size, location, year built, different amenities that those properties have. A lot of security concerns exist and our appraisers unfortunately work in an environment where people don't always want them there. I feel like this tool helps us avoid some of those circumstances. We can get the data elsewhere without actually going and knocking on the door. In many cases, we can get that information that we need through other sources, and C3 is helping us do that.

    What used to take us about six weeks, we think is now gonna take us about one day. So that's a considerable amount of time. And then that will save us on, you know, our staffing as resources get pulled thinner and thinner and it gets harder and harder to cover everything that you need to in one year. Freeing up that much time is a huge development for the assessor's office. Our county is very big on customer service.

    We, we do not want to be known as a stereotypical government entity when it comes to customer service. And we feel that C3 has kind of mirrored our approach to customer service. The responsiveness from everybody that we have worked with, answering our questions, helping us out, being in person, we've always been able to get our questions answered and, and I think that's gone a long way towards making this decision. We felt though that it wasn't just a sales pitch, but there really was genuine interest in success in the product and success in the county.

  • Chris Bruman

    Dow

    “C3 AI helps clean our data using machine learning algorithms. It's taking the process down from months to weeks. C3 provides scalability that we weren't able to do.”

    Transcript

    So Dow is a very large material science company. a good portion of our company and our success is based on manufacturing. So we have large manufacturing assets all over the world. So it makes this so complicated in terms of the problem that we're trying to solve is we have an enormous amount of data. So each of these assets that we're going into and trying to solve reliability for is like a small town.

    So you have sensors, thousands of sensors. You have cost data, you have maintenance data. So the challenge is pulling that all together in a way that makes it easier for the folks running those assets on a daily basis to make good decisions. For years, I've had our own data scientists build models to help optimize our assets, whether that is how we run them on a regular basis, how we try to predict that there's going to be issues but that's very hard to scale. Each of those data scientists is solving one very specific problem, might be one site, one plant even one piece of equipment.

    That's a manual process. Now we're using C3 AI to actually help clean that data through machine learning algorithms. That's taking what was taking months down to weeks. We now have a software platform, has AI built into it. Our data scientists help build the models in but then once we have that, we have a user interface that C3 provides that we can then repeat and go and scale to more and more assets.

    So I would say scalability is what C3 has brought that we weren't able to do. And we did look at several other companies over the last four or five years. POCs, proof of concept, with lots of different companies and I would say that our business leaders the engineers in those businesses — C3 was the first time where they felt confident that the decisions that the software was predicting really was going to be valuable for them. So this is why we're scaling now to our full fleet of furnaces. If we look at lifetime performance So over maybe five to 10 years of performance of these assets, if we can just raise the asset utilization by one or two or even 3%, it's hundreds of millions of dollars of value.

    So instead of looking at specific incidents specific let's say findings that the software sees we're looking more at long-term performance of those assets. Like I said, 1-2% with these assets we're talking about is huge profitability for Dow. Our plan is, over the next two years total, I should say, to be across that entire fleet of of furnaces, in terms of where we'll go next. There's also large compressors. I mean, compressors the size of this room.

    There are cylinders, there's valves, there's quench tanks, there's lots of different pieces of equipment. So now what we're looking at is beyond the furnaces how do we broaden out our scope and look at, in each one of these units, can we go to more and more different pieces of equipment so that when we go into the next cracker we've got really a full suite of capabilities when it comes to C3 AI.

  • Tom Zschach

    Swift

    “Everything in financial services is about trust. C3 AI is one of our strategic vendors that we've used to put together our state-of-the-art platform at SWIFT.”

    Transcript

    Swift's, the, the largest secure financial messaging network in the world. And so we connect banks and financial institutions and, and virtually every country around the world. So in over 200 countries, uh, 11,500 institutions, the, the problem in financial crime and specifically around payments and payment fraud is a, is a global problem, and it's a well known problem. Uh, and we're looking for ways to constantly apply emerging new technologies to try to help solve those problems. Uh, there's estimates that say, uh, banks and financial institutions in terms of not only complying with, uh, the, the, the laws and the regulations, but also the operations that are required, and then the actual, um, uh, loss amounts, uh, could be up to $500 million a year.

    So the approach that we have taken was to really to take, um, our transaction data and to be able to model that data and to pre-train a anomaly detection model. You know, we're a customer driven organization and this will help our customers improve their abilities to identify frauds, to prevent frauds, and to, uh, avoid the, not only the financial loss, um, that comes along with fraud, but also everything in financial services is about trust. C3 is a, is part of a group of three strategic vendors that we've used to put together our, our really state-of-the-art AI platform at Swift. And so C3 is the platform layer and where we do all the AI ops and model ops. We've been working with C3 for years now.

    Uh, it's a really good partnership. We're very well, uh, supporting in very good progress with them. We're in the process now of validating, uh, what we've built, you know, with a, a, a select number of, uh, banks and financial institutions. And then we're gonna look for ways to continue to, um, to drive that and to evolve it and, and deploy even more interesting kind of emerging, um, techniques for machine learning to, uh, really make it much more precise, much more accurate, much more performant, uh, and much more valuable to our community.

  • Edmo Gutierrez

    CEMEX

    “We're working with C3 AI to get the right prioritization based on the risk score that we have for areas. We're really excited to get our utilization higher to make sure plants operate longer and more consistently.”

    Transcript

    Our main objective is to work on, uh, reliability in specific in the cement plants. We have a lot of moving parts and our main objective is to understand when these kind of factors are gonna fail, uh, prioritize when are they gonna fail so that we can have the right resources on them. And at the end, we just have a limited amount of resources. So we want to make sure that whenever we put our hands in the machine, that we have to fix something that is the right priority for that. So that's why we're exploring, or, or we're working with C3 AI to work on getting that right prioritization, uh, based on the right, uh, risk score that we have for areas.

    Really excited to first get our utilization higher. I mean, I really want to make sure that the plans operate longer, uh, more constantly. For me, it excites me that, uh, when something doesn't fail, safety is gonna improve. 'cause you don't have people running around trying to fix something that wasn't scheduled. So you want to have people focus on things that you are programming, that you're planning.

    That's what excites me. I I want to know when something is gonna fail, when something needs to be intervened and that is done the right way so that we don't have to be running and we have everything planned. This is really exciting times. I mean, this is just, uh, the beginning of where we're heading as an industry. AI is gonna be everywhere and just like everyone says, I mean, AI is here to help us and, uh, whoever doesn't have it is not here for the long term.

  • Valerie Moon

    City of Brewer, Maine

    “C3 AI Property Appraisal and C3 Generative AI helped me do a desktop reevaluation in a few days instead of a few months, saving my city over $400,000.”

    Transcript

    We have to do annual reviews for state valuation reports and assessing equity, and it's very difficult when you are very small and you have to do all of your assessing yourself. So I'm the commercial appraiser, the residential appraiser, the industrial appraiser, and the personal property appraiser. The pilot project that I did with Chris Bell and the team allowed me to do a desktop revaluation of my residential properties without going out for RFP and doing a full revaluation. And it applied much better equity to my residential properties and helped me see what was going wrong with our assessing models. And it made it so much faster and easier for me.

    I was able to do it in a matter of hours instead of a matter of weeks and explain it to other people. It made a huge difference and we're talking ratio models that I'd have to do six or seven of, and I was able to pull the data straight out of the application. C3 property appraisal and generative AI helped me do a desktop revaluation in a few days instead of a few months, and it saved my city over $400,000. I'm super excited about streamlining my personal property appraisal process and saving a tremendous amount of human asset.

  • Mark Davenport

    Microsoft

    “C3 AI has given us the opportunity to work with customers and bring high value solutions that can be deployed very quickly, allowing the customer to get a return on their investment in months, not years.”

    Transcript

    One of the things we found with C3 is the applications are ready to go pretty much out of the box. We haven't had to spend months, years building and testing and developing, using various different toolkits to, to bring the solution together. These solutions can to be deployed in days. There's no doubt from the experience we've had with our customers that C3 deployed on Azure has been able to really speed the time to value for our customers. They have been able to use very limited number of resources and yet get results very, very quickly.

    So I think we have the opportunity for customers to take advantage of the best cloud platform and technologies in the market today. And C3 gives us another element of capability on top of these platforms and allow us to bring solutions. So we have 130 applications that are now immediately available for our customers to take advantage of on top of their Azure platform, and they really drive tremendous business value. So we work across healthcare and life sciences, manufacturing, energy financial services. We've had a great partnership with the global manufacturing customer around predictive maintenance.

    They've seen immediate returns by deploying the C3 solutions. We've also had another great partnership with C3 AI in the healthcare and life sciences space around yield optimization. I think that the great thing about our partnership has really been the opportunity to go and work with customers and bring high value solutions that can be deployed very quickly, that give the customer the opportunity to get a return on their investment in months, not years in our current market. Return on investments that are achievable within months, quarters within the first year is more critical than ever, and we see that as an enormous benefit to this partnership.

  • Rich Seltz

    Smith & Nephew

    “Agentic AI helps to fill in the gaps and take away redundant processes. I truly believe that I can lean on the power of AI to present information far more effectively and act on it.”

    Transcript

    We have four businesses, uh, three primary business areas, and we make medical implants that go in the body. So if you have an a need for orthopedics or sports medicine or wound care, we make the devices that people use and benefit from. Um, getting that to actually work is quite complicated because we have, um, not only manufacturing of very complex parts, but we actually have to get that through a network. So it's always available for people to use, whether it's a planned procedure or it's a trauma incident, an accident or something, and trying to figure out how do you do that well so that you can always assure a great patient outcome, really have something available for people, um, without having to overcomplicate how much you make, where to get it, et cetera. Getting that balance correct is very, very difficult.

    If you look at supply chain, for us, I mentioned we're complex. We have material everywhere in the world and we have a lot of inventory. But I think we can take factors from the external world and better factors from our own internal data and really predict what needs to be where with much better precision than we can do today. And by doing that, really taking more responsibility to be dynamic in how we stage and plan inventory. I also think AG agentic AI truly has a huge opportunity.

    I am looking at ag agentic AI to help fill in the gaps, to take away manual work, to take away, um, redundant processes and help harmonize them. I, I truly believe that I can lean on the power of AI to present information far more effectively and to be able to act on it. So I really want to figure out how to get started, how to prove that this matters and make it relevant to people and to, um, very quickly drive real value that that sets the bar at a different level. So it's, uh, it's a great, great time to do this and I'm, I'm happy, quite frankly to make a lot of connections that I think can help me out with that.

  • Roze Wesby

    VP, Head of Plants of Tomorrow

    “Is scalability something that C3 AI can offer? And we came to the very strong conclusion that we met that success criteria. Yes, scalability has been delivered by C3 AI.”

    Transcript

    We've got some very ambitious 2030 and 2050 decarbonization goals. These goals have been independently verified by the Science-based Targets initiative, and they're all around making sure that we reach net zero CO2 emissions by 2050. By 2030, we want to be neutral, but in the meantime, every year we have to make progress in order to achieve those goals, how do we achieve them? We need to decarbonize the full value chain, and that starts with looking at all of the energy that we use and making sure that that is sustainable. Also, looking at the materials that we create and we use, they need to be sustainable.

    And finally, to capture any remnant CO2 emissions throughout the entire value chain. We have tried for many years, as is traditional in the cement industry, to do a lot and innovate a lot alone. But in reality, especially when you're entering spaces in the digital world, you need, and we need to find partners with whom we can collaborate because frankly, we are not an expert at ai. We're not an expert in many of the things that we need in order to run a successful operation. We bring to the table our domain expertise, but we expect those who know software, who know infrastructure, who know ai.

    To also come to the table for this, we tried initially to develop a solution ourselves and actually develop a platform ourselves. So this was combining developing models that could do predictive maintenance intelligence. Give us a view of, okay, is this going to fail based on the sensor data? But that also combined with an application backend that could pull the data, that could process that data and that could bring that into a form that we could utilize it for the models. And then finally a front end on the end of that where we could visualize the outcome.

    So the use case was clear, but in trying to build it for ourselves, we found that the model wasn't exactly, uh, as, as good at predicting what we wanted. Uh, let's say we had a lot of false positive alerts coming through the system that we built. And second to that, we also found that it was not very fast to replicate and to scale. Whenever we wanted to introduce a new model to a site, we were talking about days or even weeks for that deployment, and our company is large. We have 2,300 operational sites.

    Each of those sites, we have 10 types of critical infrastructure that we need to keep running. So we had this big problem, which was, if we're gonna take weeks every time to be deploying this, we are going to be doing this for tens and tens of years, and we just don't have that luxury. We need this Today. We chose to partner with C3 AI specifically through basically being at a very important moment in our digital transformation journey. We knew that we wanted to scale AI and make it accessible to the 17,000 people that work throughout our cement manufacturing operations.

    So we needed a really hyper scalable solution. We tried to build something in-House. Admittedly, we learned a lot from that, and there was value that we delivered, but it wasn't something that we could scale. So last year we were looking for a partner that could help us take this on mass. Um, C3 AI was an option for us that could ultimately bring a scalable solution, but could also be a partner with whom we could test and validate new use cases.

    We ran a six month pilot in 2023, and following the success of that pilot for the reliability application, we now have a four year program to globally actually transform our sites using that application. All critical infrastructure is going to be covered by C3 reliability, um, and we're going to have that done over the next four years, over a thousand critical assets in the company. Speed of deployment is really important to us. As, um, we previously discussed, getting this scaled for the whole group is crucial. We wanna have visibility at all levels so we don't have the luxury of time.

    You know, we have plenty of targets that we need to reach and reliability as a core path of that. So we went from an original solution that in some cases was taking more than three weeks to deploy a new model at a plant to what we have now with C3 ai, which is less than a day for some of these deployments. And this is something that means it really was scalable and scalability was something that we tested for in the pilot. And the pilot we deployed not just at a single site for a single type of machine, we deploy that 10 sites for that machine. And that meant we had a tremendous amount of comparison between different cultures, different languages, different types of people engaging that we could truly validate.

    Is scalability something that C3 AI can offer? And we came to the very strong conclusion we met that success criteria. Yes, scalability has been delivered by c3, AI.

  • Martin Renkis

    Executive Director Sustainable Infrastructure

    “What we've seen so far working with C3 AI is that level of commitment where they say what they're going to do. They do it, follow up, and that's how we are at Johnson Controls. That's how we like to operate.”

    Transcript

    The challenges that we were facing are with buildings, and you probably know Johnson Controls touches about 80% of the buildings in the world. So we're involved in heating and cooling and physical security. We're involved in fire and safety. So Johnson controls build buildings. We operate buildings.

    We can run an entire building end to end from heating, cooling, all the efficiency, everything. Uh, there's a tremendous amount of data that's generated. So for example, we have, we have one building, 2000 sensors, so tremendous amount of data, and we have systems that can automate some of that processing of that data. But most, most, most of the decisions are made by a human being looking at that data and, and making it, making a decision. And this human being is typically very highly trained and an expert in this area.

    So what we're, we're looking at is how can we automate the data analysis? How can we automate the insights and the predictions on, on what to do? Uh, and, and this is a perfect fit for ai. It's a perfect fit. What we're really going for is something that's predictive, so then we can know if we follow these kinds of maintenance plans, or we can predict when something's gonna fail.

    So instead of having a, you know, tragic shutdown, uh, we can do the maintenance in advance and then reduce that cost, reduce that carbon emission, uh, make it just a much more efficient, efficient building. What we're looking at is energy efficiency, uh, reliability, uh, and process automation. So on energy efficiency, it's, um, all about using, in, in many of our facilities, it's electricity and natural gas mostly. So how are we reducing, uh, uh, natural gas and, and energy, electricity usage in heating and cooling primarily? So how do we optimize heating and cooling to get the very best results, uh, from, from this building and how we operate the building?

    We have plenty of technologies that do a lot of that already. So how do we take that to the next level? How do we, how do we make that even more optimized? So that's on the energy efficiency side. On on reliability, um, as we had mentioned, I had mentioned earlier, if we have a, we have a piece of equipment and it has a meltdown, it has a failure that's much more expensive than, than a predictive maintenance.

    Uh, so that's, uh, the big part on, on on that side. And then process, process automation, uh, uh, for us, really a building, just the heating and cooling systems of a building are tremendously complex. I mean, you might think, okay, it's, it's just an air conditioner I turn on and it works. Uh, but in a large facility, uh, let's say, you know, a hospital for example, uh, I mean, there's things such as enthalpy wheels, and there's things such as, you know, pre humidifying the air and pre-cooling the air. Uh, and, and a tremendous amount of technology that goes in making that air the right temperature at the right humidity, uh, and uh, and at the right volume and to meet the requirements, uh, especially for something like hospital.

    So, uh, uh, so, uh, that's that last challenge that, that we're looking to, to solve there is like, how do we, how do we build a process where all these things are working together to deliver that exact very, very specific requirement for our buildings? So when I, when I've, I've been in technology my whole life, and when I look at technology and how it's applied, it really takes three key things. And one is culture, one is technology, one is commitment. Uh, and I, my experience, uh, and business has been, finding the right culture fit between two organizations is critical. So I think the first thing when we met and spoke with, with Tom and the other leaders at the group, uh, we felt that there was a culture fit.

    That there was a, there was a sensibility there, kind of probably hard to describe what it is, but you just know culture, you know, you know what it is, but you can't, hard to describe what it is. But we noticed there's a, there's a sensibility there. There's a way of looking at things that very similar between the C3 AI team and Johnson Controls, uh, on the technology side. Um, of course, we've heard a lot about what C3 ai, uh, has done. And like I said, we're still early in that journey, but right now we've been very impressed with what, what we've seen and, uh, we're, we're getting the results that we, that we thought we might get.

    So we're at that point right now. Uh, and then, uh, and then the commitment and I I, what we've seen so far working with C3 AI is that level of commitment where They say what they're gonna do, they do it follow up, and that's how we are at Johnson Controls. That's how we like to operate. So I think that that commitment, uh, comes out in our work with them. So the culture, the technology, the commitment, those kind of my three check boxes.

    So that's, that was probably why we chose C3. I think one thing that's been really important is, um, is the expertise in our area. So unlike many other companies are out there, you've got technologists that are coming in and they're IT experts and they're software experts and they talk about IT and software all day. And they're brilliant people. They're wonderful people.

    Now you get someone from C3 ai and there's someone comes in and they're all that, plus they've been doing buildings their whole life, or like Medi who just finished his thesis, his PhD thesis on building efficiency. So not my, I'm not just getting a smart techie. I work with lots of smart techies. I'm getting a smart techie, but specific experience in the areas that I need expertise in. So I think it's, uh, um, it's, it's a level beyond.

    It kind of brings us where we need to go a lot faster. It's just like having more smarter people in the room. Things just get done better and faster. So maybe not as sophisticated answer, but that's kind of what's coming in my head.

  • Trevor Saunders

    Vice President and General Manager

    “So not only just the ability to scale, but the ability to receive insights for our supply chain and commercial activities is where we saw a fair amount of value.”

    Transcript

    Nucor is America's largest steel and steel products company. Uh, started as a really, really small steel company. After our founder, Ken Iversson kicked things off with a steel fabricator of Joyce called Ball Craft. And then fast forward to today, we are America's largest steel and steel products company. What that means is we make an array of any and everything steel, so raw steel manufacturing to steel fabrication products in a variety of categories.

    Nucor as a whole has maybe over 300 locations, if I'm not mistaken, uh, of steel manufacturing facilities. We are about 25, uh, with a couple under construction. So from, um, total volume we think of steel and tons. So that's over 20 million tons of steel that we produce. Uh, on an annual basis.

    We have a variety of businesses and, uh, nucor's culture is one of a decentralized culture to where for a long time most, most businesses operated independently. Uh, and as we have grown, we are starting to figure out that it makes more sense for us to operate more collaboratively, uh, with, uh, vertically integrated, uh, businesses as well as horizontal businesses. And what we realized is for us to accurately manage our supply chain with maximizing our margins and right sizing our inventory through the cycle, we realized that we had some gaps, particularly around forecasting that would better allow us to predict our longer lead time items that create risk in the business. Uh, so thinking about that supply chain optimization, naturally we wanted to start with the demand forecasting as it is the heartbeat that everything else spawns from. So if you, uh, improve your accuracy of forecasting naturally, your predictability and ability to optimize inventory falls into place.

    So we picked one particular product group of like businesses, and within those businesses you have multiple market drivers in a variety of categories. Automotive, construction, you've got different skews that are, that is applied to each one of those, uh, macro economic drivers. So to put all of that together, seven times to aggregate that in a way that allows you to predict outwards of 120 to 180 days, uh, it creates various levels of complexity. The impressive part of C3 is they're enterprise focused company that that is looking to create solutions that they can leverage learning across all industries. And it's more of a partnership relationship.

    It's not this black box. You show up, I do some things in the dark, and then I release to you, uh, this magical number. You know, they're, they're, they're transparent. They value value, creating value, uh, and are looking to equip you with the ability to run even after the pilot process is done. So they, they're really incentivized to ensure that there's a usable product that you understand and that you've got the ability to consume.

    Uh, which I find very, very helpful compared to some other companies that we've, we've heard of. The technology is such an emergent one that there's not a lot of expertise out in the fields that impacts speed in the information age, particularly in and around this subject with the, with the amount of dollars coming in, speed matters, uh, and C3 compared to anybody else, put us in a predicament to where we didn't have to wait and, and develop, uh, they could come alongside us in this journey and, and, and allow us to, to stand in this space almost immediately. I do believe that, you know, when, when you show up, it's, Hey, here's a problem. Here's what I'd like to do with it and what, who can I partner with to do that? And C3 allowed us to start with a particular module, build it in a way that allows us to, to, to get into other opportunities or other areas of the business that's dependent upon the first model, the insight that we could obtain from, from the output of the models.

    Uh, definitely provide significant value when you think of a, a, a global supply chain with billions of dollars in value that you have long lead times if you are inaccurate and material shows up at x cost at x amount of weight and something else happened. It's a significant cost when you're dealing with a $15 billion supply chain. Uh, so, so not only just the ability to scale, but the ability to receive, uh, insights for our supply chain and commercial activities is where, where we see a a, a fair amount of value. Yeah, we're talking millions of dollars annually, probably tens of millions of dollars annually. Uh, but we're, we're looking at multiple modules.

    So we're looking at d demand forecasting as a base, um, inventory optimization as as the next line plus a mix optimization, uh, as the next two modules. And of course, the value delivery of the sum of these parts will obviously yield, hopefully yield tens of millions of dollars of savings annual.

  • Paul Zeppenfeldt

    Vice President, Subsurface Data & Digital

    “What people want out of digitalization is this help to remove the grunt work and remove the data analysis and move straight into the mode of deciding on a course of action.”

    Transcript

    With any asset that's more mature, there's a lot more data, uh, to, to analyze and to combine. So the future is gonna be about even more data to interpret and also the analysis of the data they don't have to do themselves. That is done in two, uh, central locations, one in India and one in the us, which gives us the advantage that all this data, wherever it comes from in the world, is analyzed by the same group of people with the same, uh, math and, and the same insights derived from it. So, particularly now, when the activity levels in the business are extremely high, this is what I, when I go around shell, what people want out of digitalization, it's this kind of help to, uh, you know, remove the, the, the, the grunt work and, and, and remove the data analysis and move the asset staff straight into the mode of, uh, you know, deciding on a, on a, on a course of action. One of the things that we are experimenting with is, for example, to analyze the behavior of our wells in a, in a, kind of, in a global way, but in a standardized way.

    And we believe that through ai, through a standard approach, we will get these, not only detect what the trends are in our wells, not only to detect the trend itself, but also what could be the actual cause of it, and what could be potential mitigations. What we're trying to do at Shell is, is to produce energy at a, in a, in a responsible way, and that that interest simply involves so many functions. So I think ai, the successful application of AI to me, in my experience is, uh, more often, uh, has, is a psychological challenge, not necessarily a, a technological one. It's, there's a lot of change management to be done, but I think as soon as we show people really what it does and the time that it saves and the, the way that it leads to better conclusions, then I think, uh, we're onto a winner.

  • KR Sridhar

    CEO

    “I think overall and what's true for Bloom Energy I think is true for most companies that are going to use C3 AI. They're going to start with something and realize the power of this new capability and what it enables you to do.”

    Transcript

    At Bloom Energy, uh, we are a energy provider and we provide energy in a very different way than what's been the traditional way of delivering either electricity or a molecule to a customer. What do we do? We take natural gas or hydrogen and without combusting it, using a solid state fuel cell process, convert the chemical energy in the molecule to electricity because there's no burning smoke stacks, no moving parts. You can locate these devices right next to where the customers need it, whether it's your office building, residential complexes, hospitals, data centers, because the units are located right next to where the customers use the power and there is no transmission distribution grid that you need. It's highly reliable.

    We have over a million of them in the field. They're all censored and they're sending over a billion data points to our remote monitoring center, telling us about their health, how they're performing, how things are going, and as a class of when we ship things and where they are using all those data, we would try to optimize them. Here comes C3. What can we do with this AI and gen AI and interpretive AI and all that is? Now we have an opportunity to take each one of those cubes and make them operate at their highest potential.

    When you do that, the customer gets lot more power with lot less fuel. That is a cost, cost savings for the customer, and importantly because they're using less fuel to produce more electricity, it is a win for the climate because there's less emissions coming out and less use of resources. So I see a lot of opportunities going forward. When we do process optimization with our fuel cell stacks, there are hundreds of external and internal parameters that affect the performance of, of that fuel cell itself, such as temperature, pressure, flu rates, all that stuff. Now, there's not a single human being who can be a subject matter in all those parameters, as well as the interaction between those parameters to define how this, uh, fuel cell stack is gonna perform with CT ai, with all the data capability, it'll be able to see and point out those strong correlations.

    So it's pointing us and shining a light at the clue. And now when you're able to see the clue, it's easy for the subject matter expert to understand what's going on and figure out how to use that to make our products better. CT AI has been working on proprietary data, how to handle it with protection of ip. We are the only company in the world that knows how to do this technology and this data that we have is our treasure. So that's very clearly a huge important step, number one.

    Number two, the caliber of the people in CT AI that can understand what you're trying to solve. Engage with us as partners and work with us together to find these solutions. Add high confidence in. The third thing is, um, when it comes to conclusions and points us to those clues and shines those lights, it clearly shows us on what basis and what data rather than hallucination. So those three things are the reasons we chose C3 ai.

    So when we use C3 ai, when we get everything right, there'll be a time when we are able to achieve all three. We are using less fuel because we are optimizing the process. That means it's more sustainable. We are able to predict when those failures will happen and fix them before they happen. So it's, so it's more reliable and if the service costs come down and if the amount of fuel going in got, you know, it comes down and so the cost comes down, it becomes more affordable.

    I think overall. And what's true for Bloom energy I think is true for most companies that are gonna use c uh, uh, C3 ai in that they're gonna start with something and realize the power of this new capability and what it enables you to do. And, uh, very excited to be a customer and very excited to be on the board.

  • Elvin Varghese

    VP, Global Supply Chain Data & AI

    “I'm really excited about the partnership and the future progress that we're going to be making together.”

    Transcript

    We initially reached out to, uh, C3 AI to be able to help scale up our manufacturing processes. We have 37 manufacturing sites around the world, and we want to deliver more, uh, vaccines and medicines to patients using yield optimization and several other applications that we have within the C3 suite. At GSK, we have, uh, a pretty large investment in our data and AI capabilities. We've, uh, in invested quite heavily in, uh, Microsoft Azure. Uh, we have, uh, enterprise Data Lake.

    The C3 platform actually has a lot of great integrations with our, uh, internal cloud environment, uh, we were able to quickly connect up our SAP data, our manufacturing data, our quality data into the C3 platform. Um, and so, uh, the, the, the, the partnership between both C3 and Microsoft has been really helpful there. So our purpose at GSK is to unite science, technology and talent. Together, we have an ambition by 2032 impact 2. 5 billion patients.

    We're really looking forward to, uh, delivering value to our customers in that way, I think we'd like to, uh, start I implementing the entire suite of applications, both in manufacturing as well as in supply chain to get the greatest amount of value in, in, uh, in this program. So at GSK, we have what's called a smart manufacturing program to digitally transform the company. I think C3 AI will play a significant role in, um, improving, uh, all parts of our supply chain and manufacturing processes, uh, to be able to deliver recommendations to our business users from an AI perspective, but also to, um, integrate the, the, the data and make it, uh, more relatable, uh, for our end users and our customers. So I'm really excited about the partnership and, uh, and the future progress that we're going to be making together.

  • Zachary Starr

    Product Lead, AI Innovation

    “When we embarked on this problem with C3 AI, we felt like we had the fullest breadth of AI tools at our disposal.”

    Transcript

    Our mandate at the firm is actually broadly to transform the way that the firm practices law and delivers legal services to our clients using generative ai. A lot of the work that we do requires an extremely high degree of precision and accuracy and reliability, and that's made all the more complex by the fact that a lot of the information we're working with is industry specific or highly specialized knowledge. There's not an extensive set of data benchmarking out there to be able to measure success. And so we're, a lot of the effort that we have to put in is validating the results of the generative AI process, uh, with our attorneys and with other specialists in the industry. So, I mean, I could not think of an industry potentially where accuracy is more paramount than delivering legal services.

    So we engaged with C3 AI to completely transform the way our firm completes limited partnership agreements. Limited partnership agreements are highly complex legal agreements that limited partners such as pension funds or university endowments enter into with general partners who are asset managers, um, to discuss where their money should be invested and how should, how they should be invested. Now these agreements are extremely long and complex, contain all sorts of specialized knowledge, and we were hoping to use generative AI to rapidly speed up the analysis and extraction of key facts from the documents. When we embarked on this problem with C3 ai, we felt like we had the fullest breadth of AI tools at our disposal. For example, we experimented with different methods of retrieval, embedding, and chunking.

    We also discussed different ways of prompting, including adding more context or adding chain of thought reasoning and modularizing prompts so we could reuse them across different questions in creative ways. We also explored adding deterministic methods such as multi hop reasoning or network structures or decision trees to provide some more rigor to the decisions, uh, and reasoning that the LLM was making. We also were able to explore the possibility of using fine tuning and other data augmentation techniques to help educate the LLM on what sort of output we were expecting. When we talk about the benefits that we reap from the pilot we completed with C3, we are seeing about an 80% reduction in the amount of hours it takes for attorneys to complete the checklist. So that's taking it from about a 15 hour process, which is extremely full of manual labor writing down key facts to we estimate to be about a three hour process, which is comprised of reviewing the most complex answers and checking sources and doing more of a review.

    So it's obviously providing a ton of more time for our attorneys to focus on the higher value aspect of our work, which is attending and working with our clients. So I think we've seen a stellar proof of concept in which we are going to achieve a huge productivity and efficiency benefit in the generation of these checklists. Now, that's important to us because we can serve more clients and we can serve them more effectively. And as I mentioned earlier, the work that we're doing is affecting the retirement. It's affecting the wealth of individual citizens and public servants.

    From a firm perspective, we're excited to continue to innovate in the legal AI space, and this was a huge proof of concept for us that showed that generative AI with the right partners in the right team can deliver immense value to various practices in the legal services industry. And we're excited to continue our work in that area.

  • Xiaojun Huang

    Chief Engineer

    “I've always been impressed with the engineering capability from C3.”

    Transcript

    ExxonMobil is a energy company, uh, going through the transition right now. Our and company mission is actually to provide a modern, uh, solutions to advance, uh, you know, the modern lives. We are aspired to lead the, the innovation, uh, in order to provide that solutions. I've always been impressed with the engineering capability from C3. It is a perhaps, you know, the leading company that can scale, um, the, the amount of, uh, machine learning models and, uh, be able to deploy that and be able to sustain and monitoring, uh, these models in a scaled manner.

    For me, it's very important that when we are trying to scale something very big, and particularly it's, uh, about the reliability of our mission critical, uh, equipments C3 is very, um, problem solving oriented and, uh, really focus on the value delivery. You adding, you know, awesome technology, awesome, uh, engineering core. At the same time, focus on the, the bottom line value delivery. We tried a different proof of concepts before with many different assets and a different methodology. I would think there perhaps, you know, like the three reasons that it wasn't really successful until we, um, worked with the C3, the amount of, uh, data that's required to be integrated and the C3, the data modeling part of the C3, um, make it a very easy to integrate and contextualize all of your data or relevant data.

    C3 for the equipment, it actually solve a lot of the common issues and, uh, simplify them. And, uh, so in that way you can very quickly, uh, deploy it to a fleet of, uh, equipment. And then you can focus on some of the fine tune of the, the models on the more, uh, specific issues for particular class of equipment. This is my third time coming to transform and I see, uh, the progress, like a real progression every year. I was very impressed, uh, with the amount of a progression every year.

    The company actually makes.

  • Tuan Thomas

    Sr. Director of AI Strategy & Transformation

    “We think at scale, we could be north of $140 million in value add.”

    Transcript

    Koch Industries is a very large conglomerate. Uh, we have around 11 or 12 large operating companies, uh, and a ton of subsidiaries. And we have revenues that, uh, exceed around $120 billion annually, and we have hundreds of thousands of employees. In terms of our businesses, we do a lot of manufacturing. So, uh, we range everything from consumer, uh, manufacturing goods like Dixie paper plates, uh, brownie paper towels, angel soft tissue, uh, at Georgia Pacific, all the way to, uh, our refinery business at, uh, Flint Hills resources that we call FHR.

    So, the problem that we came to C3 AI to solve is honestly a very complex one, uh, for Koch. So all of our businesses are in the midst of, uh, what we're referring to as digital transformation journeys. And as they go along those journeys, there's a lot of different tools, a lot of different data that's all being brought together in order to create this value. But what we've learned pretty quickly is those slew of tools, um, start to get a bit siloed relatively quickly. It's hard to get standard patterns, uh, in order to scale.

    And so our goal is to identify a platform that could act as more of a single place where we could start to allow our developers to collaborate and ultimately drive better outcomes for our businesses. And in doing that, doing it in a repeatable and a scalable fashion. And we think C3 can help us do that. So right now we have two initiatives, um, that are in flight. So one is around our fans, and that's where we initially started by being able to better identify bearing failures, uh, within those fans.

    And we're seeing roughly about $4 million in annual value add. Um, for that today. Uh, we think at scale that could be worth somewhere north of close to about a hundred million dollars as we move from our fans over to our recovery boilers and our pumps. We're also working on an effort at Georgia Pacific where we're focused in on our paper assets. And so paper, um, machine reliability.

    So when we think about our paper breaks and the fact that, um, there is a huge amount of waste that comes from assets not being able to properly produce paper. And we've been able to scope so far, um, a small number of those assets where we are getting roughly about $4 million in cost savings today. And we think at scale we could be north of $140 million in value add at FHR. Uh, we are doing demand forecasting. We're on a journey today where we started with our asphalt business.

    And so we are getting roughly about $10 million, uh, annually, uh, uh, in value add by leveraging demand forecasting for the asphalt business. And as we start to scale that, we think there's another, there's an additional potential for another 10 million plus as we start to scale out into our different light products like gasoline, diesel, jet fuel, uh, and others that would also continue to, um, add value. The biggest thing for me was just the vision, um, or for Koch Industries, I should say, is the vision of C three. ai. So this notion of having an end-to-end, uh, AI platform, um, it was just different.

    I think what, uh, we've seen is that different companies offer different pieces and different components of this, but we hadn't seen it all in one place. And so I think that that vision and the aspiration of doing that was very attractive. Um, and I think secondly is the reusability component, because for us it's all about speed to value. So how fast can we go capture that value? And we believe the C3 platform is advantaged in helping us do so.

    I think what was most impressive for me is allowing us to now take Gen ai, placing that on top of all of our predictions, all of our optimizations, and bringing those things together in a more seamless way and allowing us to chat on top of that data. And what it does is allow us to make more informed decisions in a much quicker time. So when I think about the scenarios, when I think about business strategies, point of views, now, all that data coming together in one place and being able to iterate through those scenarios quickly or ask those questions is very beneficial to the business.

  • Eugene Spiropoulous

    Global Systems Manager, Autonomous Systems

    “C3 occupies a special place in the evolution of AI solutions, from today going towards the future.”

    Transcript

    My current role at Yoko Gawa is the global manager for autonomous systems. We serve a wide range of industries in a wide range of capacities, hardware, software, consulting, information management, artificial intelligence, essentially anything that can make production faster, safer, more optimized, more profitable. We've been working with C3 now with a partnership for a number of years, and, um, I've had a pleasure to work with a number of people in the organization on a number of different things. We've been collaborating a lot with, uh, simulation through KBC, we are fleshing out a number of other use cases for our customers, value adding situations that we can jointly bring to market. It's still early in the journey, but it's been a wonderful journey so far, and we do see that this is going to be a long journey with a lot of value derived along the way.

    I think C3 is a really strong partner in helping us realize that for the industry and also for our customers. There's been a lot of awesome things at CT transform, and I think, um, this year you guys really pulled out all the stops. I really, really loved the, um, vision marketplace with the Apple Vision Pro. Talking about use cases where we see this converging. You know, the industry is trending towards this idea of an industrial metaverse.

    I thought that was a very, very good example of what it is that we're trying to do. I think it's an exciting time and I think it's going to be exciting for customers as well. C3 occupies a special place in the evolution of AI solutions from today going towards the future.

  • Steven Ly

    Mayor

    “Not only has C3 met our expectations, it has exceeded our expectations.”

    Transcript

    City of Rosemead is about 60,000 people, uh, made up of large industries such as Southern California, Edison, Penn Express headquarters. So we probably get about hundreds of calls a day, and City of Rosemead is unique in the aspect that we don't have an operator line. Everyone you call, you get a live person to answer those phone. So we want to keep that, we wanna be able to have that capability, but we also know that it's incredibly taxing as well. We also recognize that times change and generations change, and some people don't want that as an option.

    So we want to keep both the inline capability, but also expand with online services as well. So, C3 came to us with a great opportunity to test out what generative AI might look like on a city level. This came from an idea of a conversation that one of my colleagues on the city council had regarding what would we do if there was a dead dog? And, and she typed this question to our website and didn't give back a query to that. We said, well, council member, you should have said animal control.

    So this kind of brought on the idea of if we create a system where it's a little bit more generative, where it can be a little bit more predictive, then it would help us find things searching a little bit more easily. And hopefully through that process as we're uploading our codes, our ordinances, our land use policies, it'll allow our staff to save significant time, research time, and also give our community an option to get the answers they need. Being able to just use a computer, get that answer, give both options, depending on what you preferred customer service op, uh, opportunities are. What we've seen is really how fast it's moving and how fast C3 has adapted to what the city needs. When this was first done in the pilot program, our co the staff's comments back was, we're limited on, on how this queries are going.

    The fact that you couldn't read tables, the fact that you couldn't read maps. And during this experience here at Transform, we saw that they fixed this issue within six months and we saw them now getting to the point where soon it'll be able to read maps by color and give us back data off of that, and even, even surpass what we expected by seeing multilingual capability. And for a community like Rosemead, which is so heavily non-English speaking, that's gonna be a huge capacity for us. The, the team at C3 in many ways mirrors the team in Rosemead. As we treat our residents.

    I feel that the customer service I get from the whole team, whether it's on the procurement side, to the customer experience side, to the technical side, every single time we've called C3, every single time we've, we've asked 'em for support, they've been there. So for us, we have a small staff. Uh, it's a 60,000 communities. So because of that, we have to be very frugal with our taxpayers money, with our budget. So we only have about 65 full-time employees.

    I don't see us increasing our staff, I don't see us having that capabilities as budgets continue to get tighter. So how do I still provide quality of service, service that my community expects from us, while also maximizing my staff's time, giving them their time back from having to do menial tasks? That's where the generative AI comes into play, and it gives us that option of being able to research faster, find answers faster, maybe even do some predictive analysis better, so that now instead of a staff of 65, it feels more like a staff of 130 or a staff of 200. So it not only has C3 met our expectations, it has exceeded our expectations when it comes to just the quality of service They're providing us both on the technical programming and the coding to the one-on-one conversations that we need to have to break through whatever customer service challenges we're having at that moment. So the city of Rosemead is evaluating two potential add-ons.

    First is working with our county sheriff's department, which is our police force in the city of Rosemead, and seeing that we can integrate some of the public safety aspects that C3 has done with the San Mateo County in LA County for the city of Rosemead. The second is, right now the proposal and the plan is for us to have an internal program, uh, that helps our staff. Eventually, we would like to get this to be external facing so that our community can also benefit from generative AI in terms of how to research and find information they need from the city. And, and that's a great opportunity that the city is excited to be a part of.

  • Soni Malik

    Product Management Senior Consultant

    “The C3 AI team made it their mission to accomplish our vision.”

    Transcript

    Before the users were doing manual eyeballing, a lot of domain expertise was required. Um, users were doing everything in Excel, and uh, a lot of things were sitting here. Many users were just, uh, because the process is so laborious in nature, um, or the workflow is laborious, they would just miss out those steps. What we were trying to do is just automate that work process. So, uh, we have been able to, uh, do the same things with a few click of a buttons, uh, eradicating the use of the Excel files and manual eyeballing.

    It's a grunt work that you don't need that, and that is where you need these tools, automation, AI, to supplement, uh, a human brain to help them doing all of this, you know, grunt work and manual analysis so that they can spend their time in like better activities. Time is our greatest resource. The C3 platform, uh, was something that, uh, we, we had in our mind about like the digital, uh, aspects of it. Like we wanted to bring the digital component into the existing products so we could use the, uh, like the digital, the AI component, the generative ai, and like a lot of smart things from the platform and release applications for users to kind of use and get value on the sport. Uh, so that was our vision and how we came across E three AI was because of that, because the platform was like a holistic, uh, collection of a lot of, uh, tools and services and the scalability aspect of it.

    Everything was like quite interesting to us. Um, so that is how we, uh, we evaluated C3 ai and we were like, well, yeah, this, this kind of matches to the expectations of the use cases you wanna put in front by users, existing users, and it worked. What I'm telling my users is you can easily reduce the time that you're spending in, uh, building a good digital twin by like 50% or even more. The application powered by the C3 AI platform held the process engineers, the planning engineers, the scheduling engineers, and all the different business units in the refineries to access to one single source of information, like a single source of truth. Uh, that model is maintained and is in its best form.

    It is accurate, it is delivering results, and, uh, it's, uh, just one single version everywhere in all the refinery sites, right? So, uh, sharing your best practices across the refineries, I mean, you could envision a whole, a whole new thing when this comes live. So we are already putting together a roadmap on how this is gonna be, uh, becoming even more sticky in the future. The C3 I team made it their mission to accomplish our vision.

  • Sherry Marcus

    Director, Applied Sciences

    “Together, with C3 AI's applications on top of Bedrock, we jointly pursue solving customer problems together, both in the public sector as well as in the private sector.”

    Transcript

    The purpose of Bedrock as a generative AI platform is to help our customers address or accelerate or amplify their business objectives using generative ai. And the best way to, you know, make their businesses more efficient or, you know, help them do more for less is through model choice. We believe that the relationship between AWS and C3 is really leveraging each of these company's strengths, right? You know, Amazon in building model agnostic bedrock, a gen AI platform, and C3 i's deep, you know, customer knowledge and building software applications. So we think that C3 AI and AWS Bedrock have a very complimentary set of capabilities.

    Together with C3 i's applications on top of bedrock. We jointly, you know, pursue solving customer problems together, you know, both in the public sector as well as in, you know, the private sector, you know, really delivering, uh, great solutions and each leveraging our individual stress.

  • Sergio Barrios

    VP of Analytics

    “I was very surprised that C3 managed to take out most of the complexity of doing an AI application.”

    Transcript

    Pan Leon is a 150 year old company, uh, that started out with, uh, the sugar business. We mostly grown our sugar cane. We have factories that process the sugar cane and also produce other byproducts like energy, ola, alcohol, uh, fertilizers. When you, uh, go through the industrial process or the sugar manufacturing, uh, you lose an amount of sugar on the byproducts, or there are other kinds of losses that are not so obvious. Uh, we lose sugar, uh, by temperature, by, uh, pH levels and uh, spills.

    And when you add the complexity of having to choose the right technology, the right infrastructure, the right architecture design makes this, uh, impossible for us to do. We began to explore different, uh, options, but we needed to have a strategic partner to help us take out modes of the technology complexity, the science complexity of those use cases. So when we partner with C3, we saw many of these, uh, challenges already solved. So they were ready to use and we've, uh, only needed to, to concentrate on the defining the problem, getting to the formulations, getting wider formulations with the C3 team, and, uh, we didn't have to worry about anything else. So, makes the whole process a lot easier for us.

    The big wins of force are, uh, increase the geo, increase the efficiency, but there are other benefits that we weren't aware of at the time. When you start your journey, always start with, with the end in mind. You might not get a clear idea at the beginning, but you will get there. Uh, when you're doing the pilots, I was very surprised that C3 managed to take out most of the complexity of, uh, doing an AI application. There are a lot of things that you need to worry about when you trying to, to develop an app, starting from ingesting different data sources, uh, having a framework for data scientists to do their job, and a tool for deploying, uh, a lot of models in very short time.

    And of course, uh, an interface that is friendly enough for the, uh, operators to, to use. So those are problems that C3 has managed to solve in a very efficient way. And, uh, uh, business that we're partner with C3 are able to get vantage shop.

  • Sepideh Mousakh

    Partner

    “I think the thing that's been most impressive to us about the C3 AI team is the time that they are dedicating to really understand our industry and how we do this. So that when they're creating the tool for us, it actually is useful for what we do.”

    Transcript

    The legal industry, like every other industry, needs to sort of figure out how we are going to incorporate and work with AI instead of being a little bit scared of it and really utilize it to accelerate the work that we do. One of the use cases that we've thought about is the preparation of S one documents that we do for our companies that are going public. And so thinking about the ways that we can try to automate and expedite the work that we're doing as opposed to sort of the human hours that we have to spend in that drafting process. The process of drafting an S one is quite complicated. It usually takes about six months with a lot of different stakeholders, hundreds of pages in a document, and there's a lot of sourcing that's done in sort of looking at comparable companies and saying, okay, what's the data and how is that company different from a company that is now going public and how do we modify the disclosures?

    It's quite complex. The number of hours, if you think about a project that takes six months, I'm not sure I've ever actually calculated the number of hours, but quite a bit. The process up until now has really sort of continued to be a human collective effort, right? With a number of lawyers, with a number of bankers, with principals at the company. And while there are certain tools that we've used to sort of search, right, other filings that we can use as reference points, there hasn't been a way to look to AI to help to accelerate that.

    It really is sort of human hours evaluating, analyzing that data and then, and then doing the writing. We have worked with C3 as outside council for a number of years since its formation. We have a longstanding relationship thinking about the way that we're gonna incorporate ai, but do that in a sort of responsible, ethical way that protects the work that we're doing. And I think we've all seen sort of in the news, the horror stories of lawyers trying to use chat GPT for filings and how horrible that's been. And so being really thoughtful and using a framework and a platform that we think has a lot of integrity and that will work with us to figure out the best use case and workflow that we can trust, right?

    Because ultimately we're doing this work for our clients and we have to be sure that it is thorough and accurate. I think a lot of the features of right, the C3 generative AI resonate with us, right? The sort of the notion that there aren't hallucinations. The fact that you can sort of look back and trace what is the source of this data and where did it come from, where you're considering the fact that if there's an IP concern with pulling that data, it's just not gonna let you do that. I think the thing that's been most impressive to us about the C3 AI team is the time that they are dedicating to really understand our industry and how we do this so that when they're creating the tool for us, it actually is useful for what we do.

    The C3 generator of AI allows us to spend less time doing parts of drafting and analysis and searching to find the information that we need to do the drafting. And again, so one, obviously that's great for us because we can spend our time doing the things that require more of the thinking that we can't use that for, and also benefits, right? Our clients, that's so much more efficiency for them and not really spending illegal dollars on something that that can be accelerated in a faster way.

  • Peter Aldana

    Assessor-County Clerk-Recorder

    “The results were actually better than we expected so far.”

    Transcript

    Budgets, right? So we're always being asked to do more of less. So I've always tried to figure out a way to run as low cost, but effective government as I can. Um, so through the years we've tried, you know, many different ways of doing, um, mass appraisal. So as the assessor of Riverside County, my job is to value that, uh, a million properties actually per year.

    And we have a staff of about 110 to 120 appraisers doing that. Um, which means that's a lot of work for person, but every year that goes by, you know, we're asked to do more. And I always think we can do more. 'cause there're emerging technologies that let us do things in a different way. So what you tend to do is, um, you go to the revenue taxation code, or you go to assessor handbook 5 25, or you go to your internal policies and procedures, right?

    And you're always trying to figure that, which is the source of truth? What am I looking for here? And we, we explored all of our internal business process and streamlined those things as well, right? We went through, you know, every approach you could think of, but it takes a lot of effort to create models. And I thought, you know, if we're talking about just kind of mass computation and statistical analysis, seems like AI would be the kind of the perfect thing for that, because I'm not a technologist by any means, right?

    So again, I'm a public servant elected guy. So for me it's, um, how do we just continually get better at what we do? So with this, um, we're really trying to capture all of that knowledge, uh, whether it's codes like from the state, whether it's our internal stuff, um, and then allow our staff to access that. So, um, we gave, uh, C3 AI a pretty high bar to reach in terms of the results. We wanted to see, the accuracy rates, and then how many properties they could value.

    Um, we actually found the results much better than that. Uh, over 90% accurate. There's this, you know, change management part where your staff might think, you know, this is going to take some jobs. It's not doing that. It really, it's just making the mundane tasks that they do, um, much easier to do, much more quick, and they can concentrate on the very complicated source properties, maybe even more.

    So for me, the important part is now I can take the staff who's working on some of those properties that are a little more easy to appraise and let C3 ai, um, take care of those valuations and move that staff into, um, working on those appeals, those assessment appeals, and then we can cut the time we hope in half of, um, resolving the appeal that a customer works. 'cause right now, it could take up to two years for us to, to resolve an appeal Mm-Hmm. Particularly with commercial property. So, um, in the end, it may not even mean fewer people. It just means we're better at what we do.

    And I think our, um, employees in our organization are starting to feel that and they're, they're really seeing the, the fruits of this, this effort. And that translates into better customer service, the ability to show customers how you arrive to their value, right? Your community, your constituents, that it's hugely important that we're able to do that. So, yeah. So c three's been, um, thus far, um, in our two larger projects.

    It's been extraordinary. The results were actually better than we expected so far. Again, incredible results. We're just, we're super excited.

  • Paul Polk

    Property Appraiser

    “I think that’s going to be the beauty of it — that we have the flexibility to choose or not choose the AI value in our analysis.”

    Transcript

    We're a medium sized county in Florida. Uh, we have about 215,000 total parcels, and a lot of those parcels, about a hundred thousand of those are vacant lots. Our county, back in the fifties and sixties was developed by a developer and they went in and planted all these lots and they were selling them marketing to folks up north. Um, so we've kind of we're left with those lots and those lots over the years have become speculative again. As, as our job, as a property appraiser, we have to put a value on each property as of January 1st each year based on the sales and market data that we've seen.

    Um, so it's challenging sometimes because we'll have a lot of these sales, you know, they look like they're arms linked transactions, that they're good sales that we should use in our analysis. Um, but they may be, again, an example I give, you know, we have one sale for 10,000 and the one next door sale for 15,000. Again, we think they're both good sales, but we've gotta make a decision. So we'll have to look at that and say, okay, what, you know, which way do we wanna lean? We lean towards that $15,000 sale, that $10,000 sale, we usually will take that group of sales.

    So if we have a group of sales in that neighborhood, subdivision market area, whatever the case may be, um, we'll look at the media and sales price and the median different than the mean. It throws out the outliers. So your, your average, your average, your mean is gonna be usually higher than what the median is. So the median's gonna be the mid midpoint of all the sales array. So we usually go to the median.

    Um, but again, we still have to look at some of those other sales to see, you know, what, what weight did they carry? Again, we're running into the same thing, like everybody is trying to find staff. You need to replace appraiser, somebody retires, they move on to a different county or a different pro profession. So we're trying to struggle, we struggle trying to find qualified people to come in to work for us. Um, so it puts burden and stress on our people that are still there.

    They're having to pick up multiple, you know, loads. You have to pick up somebody's load who's left. Um, so this would be, again, kind of filling that gap. It's not replacing the people, but it's filling in that gap where we do have those gaps when we have turnover in, in and personnel. So that's been, that's one of the, been the biggest, one of the draws as well, is that, I know I'm struggling to find folks, but this will be, we can use this instead of throwing bodies at it, Hey, let's step back, use this technologies as available to us and use that as well.

    We have, again, we have 200,000 properties we have to appraise every year. Again, each and every year. We have to do that based on the sales from the prior year. So the app allows us to go into these certain areas, you know, and we can, we can filter down by market area and neighborhood, whatever, how, how, how minute, or we want to get in that, that data, those properties and select those properties. And then it's gonna give us that a DM number and we can choose, and some of 'em are gonna be right on.

    We're gonna feel good for that. We can check those boxes and upload those into our system and not touch 'em again. Or we say, no, we don't accept that value. We're gonna look at those more closely. There's something, you know, it may be a unique property or whatever, so we don't have to spend some more time, extra time on those.

    But again, if we pull a hundred out and put those right up into the system, that we're good with those values, again, we don't have to spend time on those. We concentrate on those handful that that didn't, we didn't agree with. So that's, that's been, I think that's gonna be the beauty of it, that we have that flexibility that we can choose or not choose the AI value, um, in our analysis.

  • Paul DeLia

    Director - Advanced Technology

    “One of the most exciting things ... is on the capabilities around generative AI from an aerospace and defense perspective. We see that as a huge enabler in various areas of the business.”

    Transcript

    We have a, uh, an edict driven down from our, our CEO, Chris Kaba to be a trusted disruptor. And that's what we're driving towards within L three Harris being a trusted disruptor, uh, for our customers, which is the United States Department of Defense Intelligence Communities, as well as our international customers. So that drives how we look at our, uh, artificial intelligence investment strategies and implement and implementations. Largely speaking, uh, we look at what our customer requirements are and align those requirements to how we invest in artificial intelligence. Those are adjusted as the customer requirements change.

    Much of what we do is obviously classified or proprietary to our, to our company. In broad terms, the corporation, uh, builds, uh, many different platforms and has sensors that cover from the depths of the ocean to the outer reaches of space. We like to say from Pluto to plankton is what we cover. And generally, generally speaking, we sense the environment, digitize the environment, then use software on that digitization to produce some sort of outcome, whether it's an image or a data link output, or some sort of electronic warfare, electronic attack vector that would come out. And we integrate those capabilities on aircraft, uh, submarines, ships, and the like.

    So when we think about our AI investment, it's the amount of data that we're producing does give useful output to the customer. What we look at is what other data products can we develop based on information we're collecting that matter to the customer. And part of that data strategy is how do we employ artificial intelligence and machine learning to that data set In the sector that I work in, uh, electronic warfare, uh, which is the art of, uh, deception and denial in the electromagnetic environment, the term of art is called cognition. Developing cognitive electronic warfare capabilities. So the way you, the way you implement that is with artificial intelligence and machine learning models to drive that cognitive, uh, uh, interface.

    And the cognitive interface really is, uh, systems that would, uh, for instance, fly into, uh, a weapons engagement zone. And instead of having a priori knowledge of what's in there, being able to on the fly, understand the environment and then relate that environment back to the operator. So, uh, our, our near peer adversaries, uh, China, Russia, et cetera, have done a lot of work to transform, uh, their, their, their threats, whether they're airborne, surface based, subsurface based, and, and bring them into an era where they are complex. And what I mean by complex, they're digitally enabled, digitally informed. So by design of them being digitally enabled and digitally informed, they are using artificial intelligence and machine learning to give them purchase, to give them advantage over, over the, over the, over the United States.

    So what we're doing is we're looking at how they're using that, and instead of developing a countermeasure 'cause that just gets you into a cat and mouse game, we're looking at how we can turn inside the threat using artificial intelligence to give our war fighter advantage, uh, should they have to go into the fight. And the most important thing for us is not to put the war fighter in a fair fight, give them huge advantage in a fight, but also make sure they come home to their families. And, um, one of the ways, uh, we're, we're do, we're doing that is looking at companies like, uh, C3 AI to see how we can leverage that capability to give us the advantage in machine learning and artificial intelligence to turn inside the threat, and more importantly, invert the cost curve for the adversary. We look at companies like C3 AI as, as potential partners to see how our company can deploy capabilities at scale and more importantly, manage those capabilities, uh, in, in one, in one seamless environment. So it's important for us to understand what the larger community, both on the commercial side and on and on the, on the, on the defense side, what the community is looking at.

    And then we determine how we can leverage that within our business. So obviously there's a lot of, a lot of talk, uh, in, in the news media as of late on generative AI and the capabilities around generative ai. Uh, from an aerospace and defense perspective, we see that as a, as a huge enabler on, in, in various areas, in, in, in the, in the areas of business, being able to use generative AI to, uh, to come up with the, the boilerplate or the, the front matter of proposals, for instance. Those, those things save time and give you operational advantage in the systems that I, uh, that I'm in, that I'm involved in. What I really thought was transformative was the fact that C3 AI sees large language models or LLMs as the interface to databases and not the answer.

    Uh, and that is a, that is a, that is a big deal as far as, uh, uh, generative ai. Most of the generative AI that I've been exposed to or my team has been exposed to gives you answers. And then there's the whole, whole idea of what the temperature has been set to, to give you those answers. Uh, we see capability increase in the things that we're developing, uh, for the war fighter, uh, in having large language models as a interface to databases. I think that would be go a huge way, uh, to generate the trust that's required by the, by our user base, uh, to use these tools that we would be developing.

  • Mark Reinbold

    Vice President, Global Sustainable Infrastructure

    “C3 AI has been an incredible partner.”

    Transcript

    We focus on decarbonization, energy efficiency, resiliency, and renewable energy. So we're helping customers make the energy transition, but we're doing that in a manner where they don't have to worry about the how. They just worry about the outcome. So it's very, very important for us to be efficient and for us to develop cost efficiently and then deliver projects that drive meaningful value in buildings. Buildings have been built the same way for a hundred years.

    They've been decarbonized and made more efficient the same way for at least 35 years. And what we're looking to do is to speed that process up. So you can imagine we have people on site, we have all of our technology and our equipment. We're responsible for the energy efficiency and the energy consumption, that building. So there's a lot of data that comes out of that operation.

    C3 AI has been an incredible partner. We gave them a challenge, very, very tough challenge, and I was impressed that they accepted it. And C3 AI went and attacked the, the challenge, brought the right people to the table. We solved the problem. And everything that C3 AI said they were gonna do, they've done.

    We chose C3 AI because of your expertise and energy and your expertise in processing data and your expertise in the platform. And using AI to go drive efficiency. C3 AI helped us increase the energy efficiency of the building, reduce operational failures, and reduce downtime of equipment. So next is really evaluating how we take what we learned in the pilot and figuring out how to put the right business model so that we can go drive incredible results for our customers, but more importantly, that there's a win in it for Johnson Controls and there's a win in it for C3 I.

  • Marjan Milosevic

    Head of Industrial IT

    “The part which clicked with C3 was actually that you have the solution almost ready out of the box.”

    Transcript

    We have been working with different companies. So there was no automation, there was no scalability. We did try to optimize this, with our partners. But then we come to conclusion that we actually need a platform. We operate around 1,000 assets per plant where the potential breakdown can cost us millions and actually can put our plants out of operation for months.

    We operate more than 150 plants worldwide. so they have different equipment on the different generations of equipment. Some of them are a hundred years old, some of them are built in last five years running on very different technology, very different covering with sensors. and very different people operate this in different countries with different cultures. So this work did require a lot of customization.

    It did require a lot of modeling which is very custom to the plant. The other part of the problem is that this equipment is super robust. We talk about equipment which does not fail once per day or once per month, but typically once every few years. So that means this is a super complicated problem for machine learning kind of applications because simply there is not enough data points to to do a proper model. And we have reached the end of our capabilities when it comes to scaling.

    So our main motivation to work with C3 is to actually find the company part. who can help us scale, speed up and delivering better quality of the models in our environment. The part which clicked with C3 was actually that you have the solution almost ready out of the box. You still need customization but it does fit to basic needs of organization out of the box. The other part was, having the unique data layer be below that, where we actually, in a way make these actions of data collection and parking them to the right place is almost trivial which was usually the biggest portion of these projects.

    And finally, it provides the platform for automating data science work as well which is usually done very manually. in notebooks or similar tools. C3 allows us to actually templatize the equipment we have in the plant in two directions. Once we create the template for a particular equipment type, we can scale it up to numbers and we talk about hundreds of several hundreds of equipment of the same type with very little customization and very little modification. On the other hand, these templates are also usable for other equipment, which are different type of equipment but we can actually switch from, let's say, a vertical mill to the ball mill rather fast with few modification.

    And we have template for another type of equipment. We use the C3 AI Reliability application which already had, let's say, 80% of the things that we need. So we actually just customize the rest. But more than that, it provides us the platform to replicate and scale what is done very fast. So our pilot was actually not to test model quality if you want predictions because we were beyond that point.

    Our pilot was to test scalability. So we tested on the large scale plants worldwide and we actually managed to demonstrate that we can do things faster and better. We are considering to do pilot with process optimization with maybe energy of production scheduling. And this is something that we will work on together with C3 next year.

  • Kimberly Honciano

    Director of Technology Services

    “The biggest benefit that we're seeing with implementing the single pane of glass with C3 AI Law Enforcement is the amount of time saved sifting and searching through multiple separate databases.”

    Transcript

    We are located directly south of San Francisco in California. We host about 860,000 residents. My responsibility as the director of technology Services is to support all of the technology and infrastructure at the Sheriff's office. The challenge is we have so many different applications we have to log into to perform searches across, to Stitch together investigative leads and critical data. So we approach C3 to help us create what we like to call a one-stop shop, a solution that aggregates all of those disparate data sources into one solution with a very user intuitive and very fast search capability, and a really helpful, uh, visualization of that data to meet the needs of our crime analysts, our command staff and executive teams, our residents, our city officials, and our patrol staff who have a unique experience, uh, sitting directly in the patrol vehicles rather than behind a desk.

    The biggest benefit that we're seeing with, uh, implementing the single pane of glass with C3 law enforcement is the amount of, um, time saved, sifting and searching through multiple separate databases. It's just sped up the process from sometimes weeks to build out aggregate reporting and analysis and crime trends for our executive team to minutes. We've had real use cases from our detectives and our deputies where the speed and the breadth of data that they can sift through with searching the C3 AI law enforcement application has led to direct arrests prevention of certain crimes, really increasing the public safety. Uh, that is our ultimate goal.

  • Kenneth Scott

    Deputy Assessor

    “I think C3 AI and leveraging the power of generative AI can enhance service delivery for both our internal and external customers.”

    Transcript

    Um, I will say that especially in the appraisal world, you have a lot of people who are stuck on the way we've always done things, right? That's always been a challenge. It's a challenge when change comes throughout time. When people saw airplanes, they probably would say, no, I'm gonna stick with that train and I'll be fine with it. Right?

    And it's the same thing here. We have essentially two problems. One's a data problem and one's a workforce management problem. Um, in New Mexico, we are a non-disclosure state, which means we have a problem getting, um, accurate data so that we can have, especially with our commercial, um, property types, so that we can have accurate data to do fair and equitable property assessment. But on the workforce side, uh, we also, just like everyone else, we struggle with the challenges of hiring, um, experienced commercial appraisers.

    One thing that we can do to sort of bridge that gap is to have a technological solution that helps us do our job and make, um, accurate assessments of commercial properties in our jurisdiction. What we're doing is we're using technology to be more efficient in our day-to-day role, which honestly is what we should be doing, um, as proper stewards of taxpayer dollars. If you think about it, um, right now the current framework that we have isn't sustainable. You know, we can't hire more people. We've tried, I've tried, um, and we can't get this data any other way.

    So we have to look at other solutions to make that work. I will say in our space, um, which is, uh, again, property valuation, we're already trending that way. We're already trending towards a more technical field. So one thing I always tell people is that AI isn't taking your job. It's helping you do your job more efficiently.

    I think C3 AI and leveraging the power of generator AI can enhance service delivery for both our internal and external customers. So internally, it's being able to access data quickly, giving good, accurate answers to those, uh, commissioners when they have a question. But externally, it's making sure your property valuations are correct, that it's unbiased and, and that it's fair for everyone. So first things first. C3 AI is industry leading in the generative AI space, right?

    Um, they're very knowledgeable group. Um, I've had pleasure working with their team already. Um, as we start ramping up to do, um, even more work in the future, um, we're looking into some of the use cases that we can utilize, um, to bring again, that fair and equitable assessment to Bernalillo County. And I think that partnering with C3 AI is one of those solutions.

  • Josef Huff

    Director, Asset Strategy and Analytics

    “Instead of having multiple tools and applications that we go to for various results, we're able to consolidate that into a single application that becomes the go-to app for our experts.”

    Transcript

    So the problem that, uh, that we were experiencing was, uh, we're a very large corporation, uh, spread out over six states, uh, with a, a large installed asset base. Um, trying to manage those assets in all of the, the data that goes along with the, those assets was a, a very difficult problem to manage. Uh, it would take our, our engineers substantial time to pull all of that data together and form a picture of health, uh, of, of those assets. So what we were looking for was a, an application to be able to pull all of the, the data from the different sources together, uh, to aggregate that data and to have algorithms to, to come up with health scores so that we're no longer having to manage the full fleet of, say, 8,000 transformers. We can boil that down to a, a much more manageable subset that need attention, that we can have our, uh, our subject matter experts focus their attention on those assets, um, and not, not necessarily worry about the others.

    We have taken several different approaches over the years. You have different applications and different tools for certain tests, and, uh, our engineers would set up alarms and triggers and those various different tools. And so if a test came back, suspect or outside of range, then you would, uh, you would get an alert, but it wasn't comprehensive. Um, it was a lot of different tool sets, uh, data and, and different databases that didn't necessarily talk to each other. So equipment failure is very disruptive, um, disruptive to the company and disruptive to our customers.

    Being able to identify these, these failures in advance so that we can respond before the failure occurs is huge. Um, it's able to have both a financial impact in that you can address a problem in more of a planned fashion, um, and also have a, an impact on your, your reliability and your customer satisfaction by avoiding those, uh, those unintended, uh, interruptions. And so it became very evident that we need to, we need to begin, uh, developing tools and training tools to be able to perform that high level analysis for us and be able to, to boil down our assets to a manageable number that can then be turned over to that small group of SMEs, and it makes them more, uh, more effective. Went through proof of concepts with, uh, with multiple vendors at the time. And, uh, C3 provided the, the best result.

    Uh, there, uh, we had, uh, we had scenarios where we knew the outcome and C3 was able to model those. The most accurate C3 has helped, uh, I'd say in a couple of, of meaningful ways. One is the, the aggregation of the data to, uh, to be able to, to make that, uh, that picture of health of our assets, to be able to aggregate all of the data together and come up with an, an overall health score for that particular asset. And then also as a, uh, kind of a one-stop shop. Um, instead of having multiple tools and applications that we go to for various, um, uh, various results, uh, we're able to consolidate into that, into an, into a single application, uh, that becomes the, the Go-to app for our, our experts.

    You know, looking forward, the, the future is, is bright. Um, uh, I think in, in utilities like many other businesses, we're in a, a data rich environment. Um, even as I look beyond where we're, we're currently, uh, utilizing this application, we live in a data rich environment, and how do we utilize that data and how can we leverage that data to be able to be more effective at our jobs and to provide a better product to our, our customers. So, uh, you know, as we continue to mature in this space, uh, I think it's a, it's a pretty exciting time.

  • Jim Graves

    Digital Head of Manufacturing

    “There's technology built into this application that my teams don't have the resources or the time to build on their own.”

    Transcript

    We are working with C3 specifically on, uh, knowledge management. I think as many companies face, we face a retention problem. We have lots of experienced employees that are leaving the workforce. So how do we retain knowledge that, uh, those individuals have and make that accessible for, uh, not only a new generation of people, but a new generation of people in the way that they learn and expect to interact with information? You know, we're specifically talking about, um, engineers, operations, personnel.

    As we say, the, the chemistry has not changed in 50 years, but the way that our people work has changed. They, there's a lot of knowledge, uh, built into people who have learned from, uh, facing problems, solving those problems. And, um, as those people leave, new people come in and we would rather them not have to relearn those experiences by experience, right? We want them to learn from either information, um, that we've collected from people in the forms of maybe analysis of problems, troubleshooting kind of guides, and then just basic documentation about how our processes work, so the chemistry behind it. And so we're trying to, uh, package that in a way that it is easy for, uh, new, less experienced people to collect.

    Primarily what we're talking about is optimization of the process. And so, um, if, if we make mistakes or, um, we don't quickly solve a problem that may be impacting production, then that's just lost value for us. The more quickly we can identify and then solve a problem, the less value we lose in those kinds of situations. There's technology built into this application that, you know, really my teams don't have either the resources or the time to go develop on their own. And so by leveraging that, we, we come to, you know, production much more quickly with a solution.

    With anything transformational, um, we have to be able to demonstrate business value, uh, because at the end of the day, the business value is gonna, is gonna drive, uh, technology. And, uh, the way this started actually was one of our managers approached us with the idea, we're gonna have a, a retiree come and provide training classes. So to train our people, can we record that or is there something we can do so that we don't lose that information? And so we said, let's, let's, let's think through that a little bit more. And so through that process we started talking about, uh, different technologies, different ways that we could maybe go kind of beyond what they were thinking in their vision.

    And, and that's, you know, how we got started on this process. And so we began working with C3 last summer very rapidly kind of developed and work with that team to develop a model, you know, to, to have the opportunity to, to be, you know, kind of in the early days of, of bringing technology to a business that, that could be transformative. Is, is, is, is exciting. So I'm looking forward to seeing where it leads.

  • Jeffrey Fleece

    CIO

    “When we look for new technologies, we don't just want to find things that are cool and interesting. We want to see what can really help us drive efficiencies within the business.”

    Transcript

    So as you can imagine being a technology professional, uh, you could not get away from the term generative AI or just artificial intelligence in the last year or two. Uh, the real challenge is looking for where you can unlock true business value. There's a lot of interesting places where you can apply tools and we've gone through a major technology and business transformation for the last few years, and we're, we're still on that journey. So when we look for new technologies, we don't just wanna find things that are cool and interesting, we want to see what can really help us drive efficiencies into the business. And so, um, we were looking for use cases that would be more on an administrative side.

    We also had the, the critical need to make sure that accuracy was high and hallucinations were low. Um, depending on the business criticality of the use case, those two factors could be extremely important for us. We were able to actually isolate a human resources business case where we had, um, several hundred documents that were policy documents for employees. Our complex environment, um, within the, the business of operating in 120 countries means we have a, a bunch of different policies that are country specific, region specific. And for an employee to wade through all the online documentation with, with traditional search can be sometimes difficult.

    So we actually honed in on a use case of allowing employees to ask any of the policy questions that they may have related to leave payroll, um, and the like. And to use a, a capability that that C3 could bring to the table, um, around GEM AI that not only would allow them to answer the first question, but would also save the context and allow you to drill down deeper, uh, within that, um, that question set. And so even if, um, it doesn't know the answer, one of the things that we really liked about the hallucinations is the C3 tool would come back and just actually admit that it didn't know. And so we, you know, we'd much rather have someone ask a question differently, um, and try to get the right answer than to have a hallucination and a bad answer be provided. Uh, we just completed a, a very successful proof of concept with the C3 team, and what I was really excited to see was our overall accuracy rate exceeded 95% and our hallucination rate was 0.

    8% on that particular data set. Um, that's very promising. I'm excited to see that. And we're looking for other ways to apply that in both the HR context as well as, uh, more in the legal and sourcing aspect of, of contracts analysis. So we've actually reviewed a number of different tools that were on the market and we used a similar data set to make sure we understood.

    Um, it's very difficult to just do A POC and know whether it's good or bad based on, um, objective reality. And so being able to use a couple different capabilities and seeing that C3 was at the top of the pile in terms of the, the accuracy and the low hallucination rate was something we were extremely proud to see. And that really gives us hope as we look at the, the next round of where we're gonna pilot this technology. Um, there will be HR use cases, but I also see that with that high degree of accuracy, that there are other applications that will make total sense for the business.

  • Fabian Khoshbakht

    Global Head of Client Insight and Innovation

    “The team's really proud of what C3 brings to the table.”

    Transcript

    The problem, we, we came to C3 to solve is really focused around first line of defense of transaction monitoring. Right now, the way it works is as transactions flow through from our partners and our clients, and by partners I mean banks, those transactions and the reports that are generated are done by people. And when you're talking about millions upon millions of transactions, as volumes start to go up, there's a an obvious need to hire more people. What C3 is gonna do for us is use AI to continue to do what we do, but speed up the process and, you know, false positives that would typically create work we can get rid of. It doesn't take away the need for people to still be involved in the transaction monitoring, but it certainly reduces the number of people that are required.

    Regulators are obviously always looking to the banks to make sure that we're not transacting any illicit transactions. So this has a, a massive level of regulatory and compliance, but it, it's also a, a bigger portion of this is really centered around us wanting to grow our business. And in order for us to grow our business, we can't continue to add more and more and more people. Now, a task that today takes four to six days to complete will take a few minutes with C3. So as we add more clients, as we add more transactions, the aim is that, you know, we will see an increase in, in the transaction volumes with C3, but not necessarily on the flip side of, you know, needing people to be engaged.

    If we talk about technology we've used, it's excel, it's databases that we've created internally that we've leveraged. So this is a big step for us to, to engage with C3. I'll say this about working with C3. The team listens, the team's really proud of what, what C3 brings to the table. The sales team are not salespeople, which I love having sat on both sides of the, the table and the buy side and the sell side.

    There's nothing more exciting as someone that wants to buy a product where the sales team is actually listening to what your problem is and then bringing value to the conversation as opposed to, here's the 15 things that you should buy from C3. Um, so I think that's been really good and I consider them a, a, a partner already. And our relationship is only four months old.

  • Dylan Dias

    Chief Alliances Officer

    “I think the thing which really stands out about the C3 platform is the ability for this end-to-end scale that's enterprise grade.”

    Transcript

    So we selected C3 AI as a partner for a few reasons. One, a really high quality team based out of the Bay Area. A lot of, you know, the strong talent coming from top management, consulting firms and educational institutes is certainly an attractive value proposition. Uh, the software suite, uh, I think really adds to the public clouds. It, it makes a more finished end-to-end, uh, product that, you know, enterprises can use to drive their digital transformation, uh, missions.

    Uh, and I think thirdly, the good compliment between where C3 is strong and where fractal is strong. C3 obviously has a stop class enterprise AI suite. Uh, we bring practitioners. Uh, we have applied data scientists, engineers, full stack developers that combine along with the platform to create these wonderful, you know, outcomes for our mutual customers. So in terms of the solutions and, and areas where we have succeeded on C3 and, and delivering C3 products for our customers, it's the typical functional use cases, the high value functional use cases that are present in any enterprise.

    Uh, be it all the way from supply chain to reliability, uh, to, you know, customer acquisition for the, the, uh, client's, customers, uh, to, you know, fraud prevention. There's a variety of high value functional use cases. So it's been very advantageous to use the C3 platform to bring all of this omni model data together. Uh, and I think the, the thing which really stands out about the C3 platform is the ability for this end-to-end scale, uh, that's enterprise grade. Uh, in addition to just having the data, uh, in a, in a harmonized fashion and being able to run modeling and enterprise applications, you also want to be able to deploy it in the enterprise at scale, in a safe manner, uh, in something that's highly managed with operational.

    You know, uh, ruggedness, we took a big step forward this year in expanding our partnership. There's multiple relationships in terms of servicing c three's, customers servicing C3, uh, you know, advisory relationships. And we think we are only getting started. Uh, you know, there's an opportunity to help the vast majority of, of, uh, C3 customers, you know, get to the latest and greatest version of the software. Um, there's an opportunity to expand the clients, you know, and, and Fractal also has a r of Fortune 500 clients.

    So we're thinking also of a co-sell relationship where, you know, we can probably address the needs of more, uh, C3 established clients. Uh, we are trying to bring C3 into some of our clients. We're probably gonna have Greenfield clients that neither of us have that we both want to go win together. So there's a whole, uh, orchestration and planning cycle that's kicking off right now. Um, and yeah, so, you know, it's, it's, so, it's an engineering relationship, it's a sales relationship and it's a customer service relationship.

    And we'd love to, uh, you know, partner well and expand that and take that to great heights.

  • Amy Belcher

    Director, Worldwide ISV Public Sector Sales & GTM

    “I am thrilled about the opportunity with C3 AI and AWS, particularly around our ability to scale Gen AI together.”

    Transcript

    Co-selling really starts with the relationships that we have on our mutual teams, my team and the C3 AI team partnering together, identifying key customers that we wanna sell into, and engaging in working opportunities with our collective teams. Global national security and defense is a main key area and vertical for us in public sector this year. Um, many federal, um, executives and I work hand in hand with them to make sure that we are partnering together for C3 AI growth. So we'll focus on that vertical along with a few others and focus on Gen ai and we'll leverage defense system integrators to scale together for C3 AI and AWS. And first and foremost, the best practices is for us to engage early together to get into the sales cycle with a customer opportunity early C3 AI and AWS, and then also to share and be transparent and communicate with one another.

    And that includes opportunities pipeline, as well as long-term strategic vision. I am thrilled about the opportunity with C3 AI and AWS, particularly around our ability to scale Gen AI together.

  • Ilke Gozoren

    Head of Sales, Enterprise AI

    “The reason why we like C3 so much and are super focused on our partnership right now is because we know how to accelerate value together.”

    Transcript

    The reason why we like C3 so much and, and are super focused on our partnership right now is because we know how to accelerate value together. You know, Google has a lot of best in class AI technologies already inherent in its products that over billions of people use every day. I think what we want to do and, and have done with C3 is the ability to integrate our first party AI solutions into some of your third party, like, into some of your apps, the app layer, if you will. And the whole purpose of that is to really help accelerate value for our customers, um, and really be able to focus on solving a specific business problem. That for me is why we are better together.

    The secret sauce for me is that, you know, it's a very large company mixed with a much smaller company, right? So you guys can move quite quick. Uh, you guys can be quite persistent with customers, which I think we as Google need to get better at. We try to de-risk the effort of our customers go through from an AI perspective, and then ultimately we want that value to be seen realized on a daily basis by our customers so that we can scale together. That's ultimately what I believe the secret sauce is.

    Google Cloud offers the cloud and compute storage at impressive scales, at costs that very few people can offer. We like to view C3 as a layer that sits right on top and integrates seamlessly with our, uh, tech stack. And it solves each application solves a very specific business need, right? So that is really what I think the two, the merging of the two, where it makes the most sense and where it brings the most value for our customers today. I think our, our customers have business needs that lines of business leaders feel on a daily basis that we need to address.

    We're not addressing those problems. And I think C3 s approach, very McKinsey esque, very consultative understanding the bottom, like the most insight, like the critical insights that are needed to solve that problem and approaching it with the data science, uh, lens, right? Uh, that's the difference between us and I think showing C3 s strength in that side to our sellers has been a big eye-opener for our guys.

  • Chris Casey

    Director & GM - Worldwide Industry Software & Data Alliances

    “Partnering with a leading Enterprise AI firm like C3 AI really brings those differentiated solutions to life for our customers.”

    Transcript

    One of the things that differentiates AWS and actually differentiates C3 AI is is our ability to engage with the customer at sort of a senior level to understand what their Enterprise transformation objectives are and then work backwards from that on what Solutions exist or what Solutions need to be built to actually meet those Enterprise transformation goals in whatever industry that is whether that's Financial Services or manufacturing or supply chain use cases or a CRM use case. And so we really pride ourselves on working backwards from that customer need and then identifying the solutions sometimes plural that meet that customer need and really offering the customer flexibility in terms of how they want to implement that solution based on their technical staff that they're operating in and I think both C3 and AWS have that in their DNA in terms of how we approach going to Market together and that really differentiates. We've been working with c3ai actually since 2009. So it's been quite a long partnership between our two companies and really AWS is vision is to really help our customers in each industry with their Enterprise transformation journey, and really where that is moving towards is use cases and workloads where they are moving Mission critical but industry specific business processes to the cloud and to Cloud native Solutions and certainly from our perspective partnering with a leading Enterprise AI firm like C3 AI really brings those differentiated solutions to life for our customers where the time to value for the customer to actually get the insights from the data and move their business processes along in a more efficient and effective way is really brought by bringing together C3 AIS technology and the AWS Cloud. I think one of the things that I've been able to work pretty closely with the team over the past year and one of the things that really differentiates c3ai is your ability to not only be Visionaries but also execute and be relentless in that focus on execution and that's something that really gels well with you know, the AWS team and our culture.

    I'd really applaud the team for all of their work today and I can't wait to see what the future holds in that space. So it's a really exciting time to be in this space and certainly from an AWS perspective. We are super excited to continue to partner with C3. Well into the future for decades to come to build the most compelling applications for our mutual land customers both in public sector and in the commercial space across the industry, so it's a super exciting time to be a part of this and we look forward to what the future holds.

  • Mukul Goyal

    Head of Enterprise AI Solutions

    “Every discussion I have with the C3 team is all about giving value to the customers.”

    Transcript

    Google provides technologies and services to, let's say, CIOs and it, and then we do a fantastic job of providing infrastructure and data and AI platform. C3 has been the business of developing, uh, enterprise application, which I believe the delivery vehicle for those value. So, uh, this is a sort of better together story. We provide the infrastructure and services, so you provide the, um, uh, value s so time to value from the data C3 delivers. So customers have the, they can accelerate the time to value with the both products and services.

    So the way I look at it, uh, C3 application, they delivered the final last mile while I call it in my think, if you look at the typical customers will have the data, they will do the AI models, and then you have to derive those value by developing some bespoke applications or hiring developers and then deploy. I think C3 application development platform can really scale that last mile of the, of the, of the stack. So I've been, you know, I said working with C3 team from, uh, almost two years now at, uh, every level. And I think the common theme I find in c3 s everybody from marketing to exacts and sales and product are very customer focused. So, uh, that's very, very, uh, you know, enlightening and refreshing every discussion I have with the C3 team, it's all about, uh, doing value in customers.

    I think we'll continue to innovate the way the world is going right now with the whole, uh, latest, uh, you know, the advent of geni, et cetera. Uh, Google did, uh, invent transform in 2017. That is a basis for a lot of the today's technologies of large models in Geni. And I think C3 is, uh, taking that step right now. So I think in two, three years, I believe that both comp, uh, both companies can deliver the value to the customers using the best of both technologies.

    I really wanna shout out to the product team from the day we had Tex integration, POC all the way up to all the application development. Your entire development team and data science team is fantastic. C3 and Google team are working, uh, pretty much every day to make sure the, the product is integrated. And we, when we, uh, work closely to deliver the value to the customers, not only at the, at the field level, but also at the product and integration level.

  • Graham Gilmer

    Vice President

    “We need to operationalize AI at scale across the department and we're excited to be partnering with C3 on that.”

    Transcript

    Booz Allen's more than a hundred years old. Uh, we've worked for the federal government since World War ii. Uh, we were drawn into service then to help the Navy with challenging operational problems, and many of those persist today. If you look at the Department of Defense, it's one of the world's largest organizations, perhaps the largest organization in the world with incredible data stores, and, uh, so much information that flows across the department. There's so much opportunity and room for improvement there, and we're seeing those all over the place.

    Really, what, what power you can bring to, uh, you know, automating projects, uh, delivering advanced analytics, uh, and then getting to more sophisticated use cases that might be, yeah, rooted in, uh, more advanced machine learning methods. It's really the, the enterprise scale and enterprise grade platform that C3 represents the amount of technical investment that's gone into it over the last decade plus. Uh, and you just don't see that in every run of the mill, uh, analytic library that you, you might pick up. I think many of these, uh, while very accessible and perhaps easy to start with, fall short of what, uh, an, you know, enterprise grade, uh, solution that the Department of Defense would require. I'd say, uh, no job's too small and everything that we are, we're working on right now is truly changing the Department, department of Defense.

    Uh, it's impressive. It's, uh, changing, you know, uh, what you know, might have been there for decades or the technical debt that it exists there. Uh, the integration of platforms like C3 and what it offers, uh, is transforming a Department of Defense. I am most excited about what we can do on that data when we have it all accessible digitally, you know, native and, uh, able to operate with platforms and tools like what C3 brings. It might be something as simple as automating, uh, someone's, you know, mundane tasks that free them up to, uh, work on more advanced things and, and help the department go further.

    We're excited about those possibilities. I think we're seeing a turning point really where, uh, going beyond sort of one-off pilots, we need to operationalize AI at scale across the department, and we're excited to be partnering with C3 on that. So the, the blend of the technology and the mission is really where we see ourselves operating, and, uh, it's certainly core to our business model. Uh, and to find a technology partner that is, is, you know, patterned the same way, uh, is exciting and I think, uh, will allow us to go further.

  • Mikko Tepponen

    Chief Digital Officer

    “C3 as a company is definitely holding some top talent.”

    Transcript

    So we're the foremost producer of equipment for cement and mining industries, kind of the inventor of the cement process, one could say in the past, in the history, and really driving now of course, both of these industries, mining and cement towards sustainability. So how do we make those two highly pollutive industries in a way from a co2, another perspective, how do we make them sustainable, uh, into the future? So digital is, which is actually the quickest way of reducing those emissions and gaining those benefits for our customers, is that okay, one can of course build a new mine somewhere or upgrade their cement plant and facility. Totally. But if you want to do something today and here and now just by using digital, you can actually move faster.

    You can already optimize production, work on reliability, sort of make sure that the plant is running when it can and needs to, and of course with the lowest possible footprint from an emissions perspective. But what we see more and more is that, okay, the kind of the limits of those rule-based solutions and whatever you can do, whether it's around reliability or optimization, they're coming to the end of the road and hence kind of AI needs to be the next step. But then once you sort of tr sort of involve and include I AI into it, then, then you're gonna be able to move much faster. Having a platform approach for AI and kind of that enterprise view into it that, okay, how do you incorporate AI to everything that you're doing? We are seeing many things that, okay, we, like most companies have grown throughout the history through acquisitions, through building things in here and there.

    So today we, I think we have 55 different e r p systems as an example. So we have a view where AI really becomes, uh, let's say pervasive across the entire company as such that we utilize it across the board and in very simple way that okay, a common business user, uh, or a data scientist or whoever that is, they can utilize it for different levels and for different purposes, uh, throughout the organization. It's really the use of the C3 platform is, is for us twofold. One is, is that we can do an approach that we don't have to do point solutions for every single AI solution across the entire enterprise. And then the, the other key part is absolutely that scalability, we can move much, much faster than we otherwise would be able to do.

    C3 as a company is definitely holding some top talent. How we see it, and we believe that the engagement that we're seeing is, is, is that's why we can really quite quickly move forward with the use case, for example, around the reliability that we're now doing is because the people that we're engaging with, uh, know what they do and then therefore can help us quite quickly. The C3 platform is really helping us to combine all of these millions of documents and let's say dozens and dozens of applications, whether it's ERPs or other applications to combine that data. And therefore for us, us to be able to, to sort of really drive value from AI by combining this data, having that platform approach on top of it, uh, will enable us to move faster. In the end, uh, it's all about speed and being able to accelerate.

    So how quickly can you deploy these applications? How quickly can you develop a new one? How sort of, and that speed is gonna be the cri critical factor for us. So hence that's what we're gonna focus on.

  • Abhi Kunté

    Head of Strategic Business Development

    “Without exception I found everybody at C3 to be genuine; they're super interested in what we are doing together.”

    Transcript

    The combination of the capabilities that C3 brings, uh, to the table in terms of the depth of knowledge, their expertise, the industry, uh, information that they have, uh, paired with the capabilities that Google Cloud provides in terms of compute, infrastructure, security, storage, and the global scale. C three A and Google, uh, come together and bring their core capabilities to solve for very interesting use cases for critical industries like healthcare, manufacturing, financial services, and many others. And given that C3 is a core standalone technology company versus sitting inside a big industrial company, it provides the freedom, the capability for C3 to be able to go into these customers And be able to tell them the story about how digital transformation can drive value to their business. On the other side, a lot of these companies are transitioning to cloud and Google Cloud is one of their preferred cloud providers, especially around our focus on, uh, security and are focused on global scale and networking. And as these companies look truly at the end to end digital transformation, one part being the infrastructure side, moving to cloud, and the other part being applying predictive, uh, ai, machine learning, and all these technologies to drive meaningful revenue growth, meaningful improvement to their bottom line.

    I think the capabilities come together very well, uh, where they compliment each other, um, and drive, drive growth for our customer base. We are not in the business of end user applications in most cases. Uh, from a Google Cloud enterprise standpoint, which is where the C3 compliment comes in perfectly for us. I've been working with the C3 team for about five months now. And, uh, with our exception, I've found everybody at C3 to be genuine.

    They're super interested in what we are doing together. They're intellectually honest. They have a right attitude towards approaching joint customers. I want to make sure that the C3 and uh, Google Partnership becomes the most important partnership that we have in this space, in the AI and ML space for both Google and for c3.

  • Prachi Chapman

    R&D Consultant

    “My experience working with C3 has been extraordinary.”

    Transcript

    In the industry today, you know, people are very used to using these, you know, say process simulators. Um, it's very embedded in the process today At a desktop level, you know, it might be a process engineer doing a quick what if study, or it could be your planning and team, you know, making, um, vectors for their, you know, plan coming up for the next month. We see our clients, um, facing a lot of those challenges where, um, you know, maybe they put in the effort to set up a model knowledge, you know, comes in, comes out, and now that model stays on the shelf and they're not continuing to get value out of it. All of those challenges we are trying to use, uh, machine learning to inject what we already know today. How can we get AI to help us clean up that data?

    So that's really where we're going, which is how do we get the best of both worlds of these first principle based models and layering on better predictions by also seeing real time data and coming up with say like a machine learning like surrogate model. That's, that's really kind of where the industry wants to go. And our developers are, are learning a lot from the C3 developers of how do we approach these problems, you know, when we're looking at different machine learning algorithms to um, be able to detect, automatically detect that, hey, you know, what is the health of this system? And so it's been a very, um, great learning experience, I think for us, while also bringing a lot of value. It's not just kind of an r and d experiment happening aside, we are learning a lot because this is really a problem that we know our clients are facing.

    Um, and we are well placed from our background, from our domain expertise and working with this for so long to come out with a really good solution. I've been very impressed though with, with c3, um, with kind of the methodology as well of helping us step through, even from the very beginning of how do we define like what, what the use case is, what is the business value that we are trying to, to capture, to help make sure that whatever it is that we're designing makes sense. My experience working with C3 has been extraordinary. I think, you know, very high quality people who are very engaged and excited for what they do, and that has really come through because the problem that we are trying to solve is not an easy one. Working with C3 has allowed us to really hone in and focus and say, okay, what is the solution that we wanna put in our resources to actually get to a solution that's gonna bring value?

    Having C3 there in the picture to help figure out, well, how do we actually do this, has been very valuable and I would like to see that grow.

  • Kan Wang

    Assessor

    “The team that came from C3 did their homework.”

    Transcript

    So the system aspect of it is, is definitely in, in my opinion, the system is not as challenging. It, it's definitely the people and process issues that we, we kind of encounter. And, and let me explain that a little bit. I think, no, just normally our business as government entities, we, we focus on cost. If we want to have a chance to do more with less and to be a better, more efficient government and provide better services with less public funds, uh, we definitely want to aim for a solution that touches the biggest piece of the pie.

    So the goal and the vision of, of my assessor, um, Mr. Peter Eldon, is definitely to say, all right, if we truly want to live up and achieve doing more with less and still live up to the quality, the timeliness, the accuracy of what we do, then the most important thing is definitely look at how technology can facilitate that because, um, the ratio of using labor is just gonna grow the cost proportionally. And, and that's something that we wanted to make sure we no longer go down that path. A good portion of the counties are still dealing with legacy systems. Um, and, and depending on the jurisdictions, the, the level of maturity or, you know, where they are in their journeys are, are very different.

    Um, so we're one of the, I guess the, the lucky ones in California that we, we muscled through it. It was, it was a long and hard process, uh, but then it allowed us to establish the foundation. Now that our data is migrated, now it's in the accessible right, um, presentable and, and we can leverage those data sets, um, in a new way. The team that came from C3 did their homework. You know, we talked to, as you can imagine in our business, in our size, we talked to a lot of vendors who has an interest in this particular space, uh, who wanted to offer solutions or, or, or assistance in terms of leveraging technology better.

    But bottom line is, you know, there's a process where as much as some of the, the vendors with the software, um, are able to understand what we do and offer something that will help facilitate it. If you go to every different jurisdiction in California, even though we have the same mandate, I can guarantee everybody does it differently, right? In terms of who we have the subject matter expertise and how we establish the process and the workflow to accomplish the mandate. Uh, so because of that software becomes a little bit challenging to try to meet everybody's needs. So for a vendor to come in and before a solution is even put on the table, they're able to articulate, explain at a very, very, you know, sufficient level or effective level about exactly what we do and how to interpret our mandate.

    That really sets it apart because that means there's a genuine interest to understand us as one jurisdiction, as one customer that has its own uniqueness in people and process aspect of what we do. It really speaks to, you know, how we want to partner with the technology firm and the partner's understanding of us as a individual unique operation. Uh, and, and that we don't usually see in a lot of vendors.

  • Shintaro Kubota

    Senior Manager

    “How to reduce the downtime on the current asset is really important for JMOD.”

    Transcript

    To share with you the background, uh, Japan, uh, southern environment is really, really currently, uh, getting severe, uh, as you know, uh, this threat of the Southern comp, uh, countries. So, uh, what, uh, j o d, uh, need to do is to, uh, protect Japan, uh, from the Saudi, uh, environment. And, uh, in that, uh, sense how to improve the, um, uh, how to reduce the downtime of the current asset is really, really important, uh, for jmo, especially for aircraft and, uh, other, uh, assets as well. So, um, but at the same time, uh, current maintenance has a lot of, um, labor intensive work. So, um, we are really, uh, really, uh, interested in introducing a predictive maintenance capability for jmo in order that Jake, uh, they can, uh, effectively, uh, maintenance the, uh, current assets and utilize, uh, the asset, more predictive maintenance, uh, of CSU AI will help J M O D, uh, do the predictive maintenance because, uh, there is the old generation aircraft, which does not have, uh, enough sensors to, uh, uh, get the information from the aircraft.

    What I'm doing in Silicon Barre is to help Theat company, uh, include the supply chain management, and, uh, uh, they are struggling the, uh, uh, supply chain due to the, uh, uh, lotion, uh, problems and, uh, um, uh, covid 19 problems. And they are doing, uh, they're, um, allocating a lot of, uh, additional cost to, uh, deliver the, uh, products from Asian market to, uh, United States. And the problem is that they cannot see, uh, the what is going on in supply chain and what they also, they cannot, um, uh, analyze, uh, how to improve the supply chain. So I understood that, uh, there was, there were a lot of, uh, people coming from various kinds of industries. So, uh, this capability is not only for, uh, as you know, defense and airspace, but also other, uh, cap, um, other industries as well.

    And, uh, um, Mitsubishi Corporation, uh, is working for various kinds of, uh, industries, uh, not only defense aerospace, but also other industries. So, I, um, want to, uh, seek for other industries, uh, cooperation as well. Well,

  • Nikhil Gulati

    VP Engineering & Product Strategy

    “I think we can cover a wide range of use cases within oil and gas and really deliver at scale.”

    Transcript

    my primary responsibility is from an engineering standpoint is to make sure that the delivery of all the products that we do for our customers in Orland gas industry is is with quality in on time. And we also ensure that the product capabilities meet the requirements that our customers are giving us. For example, when we talk about critical equipment in our field there is significant value in reducing unplanned downtime. And and it's not a new area predictive maintenance and reducing unplugged downtime has been pain points for many years. The techniques have changed over time.

    So two things that I think that are changing now is actually an ability to have a system that's kills across wide variety of equipment types and wide range or the scale of the fleet itself. And the second is our ability to automate a lot of processes that were manual before and really showing that unplanned downtime is now Within Reach or reducing unplanned down dummies Within Reach for these customers. There are new use cases that are coming up like when you look at a full view of a plant, you're not just looking at equipment rotating equipment. Let's say you're looking at the entire process. Then there are other opportunities that where the customers would like to get value whether it's improving the throughput or the production while making sure that the Equipment reliability is at the highest level.

    But the production is also maximized at the same time. He scalability of the platform of significantly increased. We are now hearing about genetically and something that we have not put in a lot of time in but we know we should or we would but now I can actually get a head start because C3 has done that current work and would be make will be making that available for us. I think we can cover wide range of use cases within oil and gas and really deliver at scale is what I believe right scales scales the biggest when you'd match these two things doing at scale is the biggest value for our customers.

  • Mike Aylott

    CTO

    “C3 gives us the kind of enterprise platform that will allow us to provide solutions at scale to our customers.”

    Transcript

    We've been looking at this transformation as a way of helping our clients change their businesses, uh, modernize supply chains, auto automate where possible, our bringing in new technologies and and so on. To get to the point of being able to do that, we've had to do some of that ourselves and improve our own internal processes. C3 gives us the kind of enterprise platform that will allow us to provide the solutions at scale to our customers. I think it, it's, we look upon it as, uh, we, we provide a modeling platform. Those models have to be built.

    They have to be tested, they have to be continually updated and, and revalidated and our customers don't have the resources to do that. Uh, just with people alone, we don't have the resources to do that for them either. Platforms like C3 give us the potential to change the way that happens, um, to let the customer get their models automatically updated as and when that needs to happen. Using AI techniques to help them understand that the models need attention in the first place. And then AI techniques to drive how we update that model and to generate machine learning models at the back end of it that they can then apply, uh, to drive greater value from their, their businesses.

    And the whole thing is, is about us helping our customers really obtain significant increases in value. It's really finding something that could go from kind of lab scale or single proof of concept to the large scale. Um, so customers will have tens, hundreds, thousands of models. Uh, one of our customers said, we have 3,500 models. How do we hope to keep those maintained?

    And you can't do that if you are having to hand engineer all of the pipelines to keep those things working. It's unsustainable. We, as part of Yoko Gal are looking at, is driving to a, a future that, um, one meets all of the kind of energy transition goals, decarbonization goals that customers have, um, that does that in a way that also delivers much more autonomous operations. Um, we see smart manufacturing as being something that, um, will come to the fore. It will take some probably longer than people anticipate, but that's really where we're driving to.

    Uh, I think together we can get.

  • Scott Fedor

    Digital Transformation Leader

    “Things like Generative AI are going be a huge game changer for us.”

    Transcript

    So some of the challenges that we Face are parts that have inconsistent use right AI requires a significant amount of data, but we're not using AI for a lot of this a lot of it's simulation and simulation can be used on lower volume Parts higher volume Parts. It can be done on all of those. So in terms of trying to get everybody to understand how the simulations work, we run 500 simulations on every part and every facility level to try to get the best possible recommendation of Safety stock or reorder point or different parameters settings. When you talking IO the immature optimization application is all based on uncertainty, you know, so that's a big change for most planners traditional Safety stock methods or based on variation. So what was your average usage?

    What was the standard deviation of usage and calculating, you know, your characteristics off of that? Well now you're throwing all that out and you're going to more risk based Safety stock planning. Approach and it takes the level of comfort that they don't necessarily start with because they don't always get the results that they're used to in their traditional methods. So it sometimes it feels like it's handholding but it's really not it's just you've got to take the time to go side by side. Hey the model came up with this is recommendation at the end of the day C3 is not just operating in supply chain Suite they're not just operating in new oil and gas industry.

    You've got people who come in with experience from defense from oil and gas from Healthcare from a variety of different areas that can bring that experience to bear on the same data sets that we have but from a different angle, that's where C3 needs to stay and keep getting better and better because you guys are world leaders in that area double down on that keep giving us better ways to use the technology that we've already invested in and find better ways to both optimize that technology make our processes easier to manage and allow our people to put their time into those things that are going to be Changes for Bank reviews things like generative AI is going to be a huge game changer for us as we go down the line the ability for us to ask basic language questions. Ask them in the natural way and get answers faster than we could before to be able to take our people and put them onto the more, you know, critical planning areas and to be able to take them out of having to run basic reports and research and be able to put that into the hands of generative AI with C3 is going to bring that is a huge game changer for us. So that's one piece. The second piece is at the end of the day. We have a supply chain system of record, you know oracle sap variety of systems in place.

    We're looking for ways to better utilize our other Investments. So being able to get optimizations and simulations and being able to do those with the digital twin at C3. Give us the ability to make better use of the Investments. We've already done in other technology.

  • Yu Dai

    Director, SVP

    “C3 AI — we believe can have a big role to play to support us to achieve our goals.”

    Transcript

    In Yuku Gawa, uh, we have been working, uh, with, uh, ai, so to use AI to develop, uh, AI powered technologies and also our product services in the last, uh, probably over 10 years. And, uh, we're been, uh, delivering solutions, uh, for a normal, uh, we say the problem shooting and, uh, production, uh, prediction and, uh, quality management, alarm management, and so on. And, uh, these days with the new technology development, basically we see there are more and more opportunities coming from, uh, we say the integration and, uh, autonomy optimization of the larger systems. So that's the, where we need, uh, uh, more sophisticated AI platforms and technologies. So in order to achieve these, uh, values, that's what, uh, we are working with, uh, uh, c AI to achieve all these things.

    These three AI and yuku. Currently, were working together to generate, uh, uh, a kind of model, what we say, a petro sim, uh, automated maintenance, uh, model, applications for auto, uh, detection and, uh, calibration of, uh, refinery and petrochemical reactor models. So we use, uh, C three I technology and our own, uh, process simulation technology. And this is a significant, uh, innovative, uh, approach for the digital twin that we're creating, which will play a very big role in, uh, the transformation of, uh, our kbc Yeah, technology. We talk about, uh, uh, industrial autonomy.

    So the true autonomy, uh, operating at large scale. It's not one system or one process model, but, uh, it's a system of systems of a hundred and even more so this, uh, work, uh, operating at, uh, orchestrated, uh, ecosystems containing, uh, multiple AI technology and platforms. So that is, uh, uh, is a quite a, uh, different and si significant so that, that will, uh, provide a lot of demands on the un underlying AI technology and platforms. And also pre-trained packaged AI solutions. All this c3 ai, we believe can have a big role to play to support us to achieve our goals.

  • Dan Brennan

    VP - Business Operations

    “We've got great expertise and advisory that comes in from C3.”

    Transcript

    Our customers are dealing with a number of forces right that they're ultimately driving them to transform the demands around ESG and the the energy trilemma our forcing them to look at their their portfolio right their portfolio of assets that they have going on. There's a lot of m&a activity. There are also continue to deal with an aging Workforce. We've got to continue to operate the same, you know, scope of of assets producing assets that you have in your portfolio with fewer people with a lot of expertise. That's that's retiring.

    They're turning to technology and you know, I think what's really really exciting is the opportunity to bring up a completely new Workforce that is digitally enabled and allowing them to spend 80% of their day on really productive activities. I suppose to I think you know, we're the industry still is today is is most of that time. And you know trying to stitch to debt together data sets search for answers. The design pattern that we're picking up now is a need to to find purpose-built solutions that ultimately help accelerate time to Value right for their operations. And so we're seeing tremendous progress in areas of asset reliability.

    There's a lot of interest in how digital Technologies And specifically AI can support new ways of optimizing really complex processes across LNG refining petrochemical fertilizer and so digital spleen a key role and really helping really build up a new set of skills around data science paired in partnership with subject matter expertise around a very specific operating condition within the customer base the way that we bring these solutions to life is through partnership, you know, we've got great expertise in advisory that comes in from C3. We pair them with subject matter experts that we have within Baker Hughes and they sit, you know co-located with customers trying to bring these new solutions to life you get a feedback loop as you start to deploy these applications bhc through reliability phc3 process optimization and not just across a certain segment but across the value chain itself in oil and gas and you start to pick up some design patterns that really feed the product Road. App and really The Innovation process around these things and I'd say that the rate of innovation that we're seeing coming out of C3 getting into new areas like generative AI which is, you know, there's a lot of excitement around, you know, we think there's a large opportunity. We've got bhc-3. supporting driving cleaner energy production that we have the Baker Hughes C3 Solutions, you know playing a significant role in in helping customers meet their carbon reduction commitments.

    In my vision for the future is that we continue to attract a tremendous Talent base that's energized and passionate about solving some really important Social Challenges that we've got to get after.

  • Graham Evans

    Vice President

    “With the C3 capability, it's a full package of AI integration capabilities from the data layer to the analytic visualization layer and a lot of our developers love it.”

    Transcript

    A lot of times the technology solutions that we bring together for some of our customers are relatively disparate and not really well integrated. So we spend a lot of our time building interfaces to different tools. Whereas with the C3 capability, it's a, it's a full package of AI integration capabilities from the, the data layer to the analytic visualization layer. And a lot of our developers love it. A lot of our data scientists love it because they can spend more time building insights than building infrastructure and pipes, uh, to create new capabilities.

    So one of my roles is to help DOD organizations think about ways in which they can harness the data that they have available to them and generate new insights and, and capabilities to help them drive decisions faster. Over the last, let's say five to seven years, the technology journey has been quite remarkable. So we started working on-prim using relatively custom solutions, and I think AI has the promise of being able to crunch more information into that smaller decision space at a rate that is relevant to the mission. So if you, if you can come up to a decision, the right decision, but it's too late, then you can't dominate and you can't win. And, and I think AI has the promise to be able to, to help organizations and leaders do that.

    One of the things that I really see the value in the partnership with, with Booz Allen and C3 is where Booz Allen can bring, uh, the mission, understanding the subject matter expertise around the data, around the solutions. And C3 brings this really unique technological capability, but really sharp engineers that can help us integrate that technology into the mission with our partnership. One of the things that excites me the most about the work that we do, uh, it's what gets me up in the morning, is the opportunity on a daily basis to support our war fighters to support our veterans. Uh, supporting the federal government with new AI capabilities is one of the most patriotic ways in which you can support your country. And that's, that's the really, the reason why I got into this business.

    So I think there's two things that excite me about being able to bring capability to our clients faster through technology like c3. I mean, the first is that typically in the federal government, they're slower to adopt new technology, um, because of security or other acquisition type ramifications. But with the C3 partnership that we have with Booz Allen, uh, we're able to introduce the best of breed of commercial capability advancements in integrating AI solutions into common workflows. I is something that I find really exciting about bringing that to our customers who have similar problems. It's just a matter of bringing the right technology and solutions to bear.

  • Dan Smilowitz

    Head of Enterprise Data & Analytics

    “As our tech footprint has expanded, C3 has really been the tool that we leverage for some of our true AI beyond just reporting.”

    Transcript

    We recently went through the deployment of our smart meters, which go from capturing our manual meter reads once a month to capturing data every five and 15 minutes across dozens of channels. So we knew that we couldn't do anything with that, with our legacy system. So we went out to bid and partnered with C3 to figure out how we could actually gather that data in a meaningful way and conduct some analytics to get some insights on it. So we started with the AMI operations, uh, module and use that to figure out how we could track deployment, look at meter health, and then figure out what came next. And as we were doing that, we realized that this was a platform that could do more than just handle our ami, but really help us build out on enterprise analytics strategy and start to apply AI to different areas across the business versus just this one new project and the data that was coming from it.

    Over the past few years, we've started to bring in a number of data sources, some of them very legacy, very old and part pair those with this smart meter data to generate some real insights that have had measurable impacts on, uh, our safety, uh, regulatory with real value associated with them that we can actually track to dollars, which has been a ch a challenge working across some of the different areas. But the use cases that we've deployed on c3, we've, uh, leveraging that data that we used as kind of the foundation, been able to really drive value that we can agree with our business users that is there is quantifiable, is measurable, and we can, you know, call those cost avoidance. What my team is looking at is how do we build out an enterprise strategy on technology, on use cases that can be deployed and on data governance. And as our tech footprint has expanded, C3 has really been the tool that we leverage for some of our true AI beyond just reporting. So when we need to generate insights that in the past somebody hasn't been able to generate, that's where we're looking to drive those insights and drive that value.

    But the thing that is most impactful, um, overall to our customers is that could save somebody's life. Um, and it's all from just leveraging all of this data that we have across all these channels and building out features, de developing and iterating on a machine learning model, and then deploying it and giving it to our engineers who can go through and identify these are most likely to be safety conditions and send someone in the field to do an investigation and a repair all from one screen, logging into, uh, to the platform to, you know, still keep a human in the loop, but eliminate the steps and the screens that they have to go through to take this data generated AI generated model and prediction and take action on it in the field, uh, near instantaneously has been really tremendous.

  • Sriram Seshadri

    Vice President and Head of Digital Smart Products

    “But what we really like with C3 as a solution, it's not focusing on an application. It's focusing as a complete platform. They're very focused on value.”

    Transcript

    When you scale, you don't want to, uh, hold onto your data scientist because these appreciate resources what we have as well, and we wanna make sure that we can onboard more missions with, with more operations team so we can really scale. Because some of these missions, like palms have thousands of pumps, right? So if you really need to scale, you don't really need the data scientist to really load each of those products. So now we have in the transformation where we are moving from a product company to a, a life cycle service solution company, and digital plays a very vital role in that, making sure what happens once you install the product. We want to know what is happening to those so that we can provide all those service solutions to the customer.

    And we are primarily working initially with connectivity and providing some insights and, and values around it. Now we are moving, like today we have 9,000 assets connected globally and like 115 million data every day hitting our platform. So now we are going next step further from there, from being a condition maintenance recommendations to provide predictive maintenance recommendations to the customers as well. That's exactly where we are working with C3 as well. We are looking to use the C3 platform primarily to see how to use this to, to scale with the, with the, with the, with the larger emissions number of missions.

    Uh, what we wanted to onboard with the predictive modeling as well as the complexity, the, the complex machines, how we, how we design the models in a more efficient and and faster way to, to accelerate the journey of, of digitalization. Initially we provide look at the conditions, what's happening and provide some recommendations around it. But where AI comes in is to build a model on top of it and then, and make some predictive analytics and, and be able to predict the potential failure well in advance. So that's exactly what we are bringing. So we bring all this together, uh, and, and able to predict based on the condition, understand the product design of what is available, what's the product, how it is designed, what is the best performance you could get out of the product as well.

    And also understand process and provide a comprehensive life cycle recommendations to the customer. And this is where Fel Smith, we believe that we play a unique role where we bring all the technology product and the process knowledge together and also the whole supply chain of the services, whether it's a parts or whatnot together as a bundle to the customer. So that's exactly where we see where we are leading the journey. But what we really like with C3 as, as a solution, it's, it's not focusing on, on our application, it's focusing as a complete platform. They're very focused on value, value, I think.

    I think we have been always talking about what's the value, what's the problem we are trying to solve and work together as a team to, to really get that. I think, I think it's very impressive with the interaction and the way it's a lot of focus on the value creation. I think that's pretty clearly what we see. We start off with this, this journey earlier and what we see, uh, C3 could bring very clearly based on the pro proof of technology. What we have worked with is ability to accelerate it.

    Uh, and I think that's, that's exactly where we see a bigger value coming in, both accelerating in, in building the models and more importantly accelerating the adoption to multiple missions. I think that's where we see a bigger value coming in from c3.

  • Dan Jeavons

    Vice President Computational Science and Digital Innovation

    “I think it’s fair to say that digital technology is infusing every part of our business.”

    Transcript

    Shell was early in setting up a digital transformation strategy. We started in about 2017 and we've been building capability ever since then. I think it's fair to say that digital technology is now infusing every part of our business. We've got about a hundred different AI use cases in production. We've got about 1.

    9 trillion rows of data aggregated into a centralized data environment. It's about growing by about 30 billion rows every week. And we're looking at about three million senses aggregated into that environment. C3 has been a great partner on the journey and we've been learning what it means to develop. Scaled up end-to-end AI powered applications that are professional grade supportable maintainable and secure and I think that's been new for us.

    It's been a learning curve for sure platform has been more stable than it's ever been and we're scaling the applications more than we ever have before we've seen very significant improvements in reliability over the last few years about 5% of the last five years and put that in perspective. That's about the equivalent of a hundred thousand barrels will equivalent per day in terms of increased production. We believe the digital technology is one of the critical leavers that we have to accelerate energy transition. And again, if you look at how that's happening. A lot of that is being powered Now by a combination of Technology, but also by C3 and the AI capability.

    I think what's important about that is I guess there's a growing maturity in the way that we look at Value in Shell, which is looking at those real top-line business outcomes that matter and then looking at how the business how the digital technology and the business process supports us achieving those outcomes.

  • Susan Burrell

    Product Owner

    “It’s been a great partnership. They listened, they delivered.”

    Transcript

    I developed digital products and over the last few years. I have developed a number of products in the area of predictive maintenance which was the Forefront of our digital transformation. We want to really ensure that we can transform the way we work. We want to retrieve more value from our assets, but also keep people out of Harm's Way predictive maintenance very much targeted indeed the areas where the biggest improvements could be had. The C3 applications sit on our Enterprise AI platform and predictive maintenance was the first products that were published on that platform.

    We are looking at expanding this into the other areas of the business. It's so shall as you know, as part of the energy transition. We have new assets new areas of business and we're looking at expanding this there. So new energies wind farms, how can we use it there? Having a common platform was a real struggle in our beginning.

    This was a big leap forward to actually get our product onto the platform to be able to have a stable platform, but then have the chance to replicate this into other assets. It's been a great partnership. They listened they delivered. So thank you very much team. I'm really happy to continue our journey.

  • Dion Hinchcliffe

    VP & Principal Analyst

    “I find the C3 AI platform compelling because it’s a more mature take; it has all the things enterprises actually need in it.”

    Transcript

    I work with our CIO audience at constellation and it's about the AI portfolio. I've had cios tell me in the past that what they really want is to take everything their organization knows both in the heads of their of their workers and inside their it systems and be able to use that to make competitive decisions faster than anyone else in their industry. That's that's the real dream. But really it's put AI in everything. I find that the c3ai platform compelling because it's a more mature take it has all the things that enterprises actually need in it as opposed to just trying to tackle a point solution and you know creating or using your python learning libraries and having coders in there.

    It's much more a platform that's designed for end and management and operation of sophisticated AI workloads. So it's not just developing, you know, the artificial intelligence Solutions themselves, but to send an entire process and then how do I actually make this? How do I scale it up? How do I run that with all of my rules and all around the world in a very comprehensive fashion and what really strikes me about c3a I platform the part that I really like because I come from an IT background. And I know that when you bring Ai and you have to work with the hundreds of existing applications that you already have and all your preferred architectural Frameworks and solutions and Technology stacks and so on.

    C3a, I was designed from the outset to do that. Right? So it's kind of born in this real pragmatic world of I've got to be able to work with everything or I can't I can't get in the door and actually help in any meaningful way. I can help in a corner because I don't work with anything. But if I come in and say I'm prepared to be highly and deeply integrated.

    I'm out of the box already integrated with so many things you already have anything else that I don't know about. You can teach me and I will integrate with that too. So this is very egalitarian open layer that sits on top of your complexity. That's a very powerful vision and that has a much better chance than most AI Solutions are really getting deeply into delivering AI in every part of your business.

  • Vivek Chidambaram

    Managing Director

    “I do feel like Accenture, C3, technology players, and various industries – coming together to solve problems is going to change the efficiency of various systems.”

    Transcript

    One of the things that we have struggled to do in various Industries any process industry is truly get citizens data science in place. There's a lot of discussion on it. There's a lot of efforts on cleaning up data in it. There's a lot of efforts on allowing that data to be enabled in it, but never truly an ai-enabled platform that speeds up that process. What I saw over the last two days has that it has the ability to change the way that work happens.

    It has the ability to change the way that data is managed and most importantly it has the ability to change the way that the ecosystem can interact. Through that lens of AI and I think it's a seismic change in my mind. I think the three spaces in that there is a space around technology. There is a space around the domain knowledge and there's a space around change. How does how do people change the way they're working in that domain as a result of Technology.

    It's almost as three-legged stool that has to come together the more we can change the way systems work doesn't matter which system it is. You can think of the energy system which is close to my heart. You can think of for automotive system. You can think of a transportation Network you can take of health care. They're all complex systems that require these three to come together.

    All the work that you're putting in in getting code bases aligned getting data science in place getting the interfaces in place is really going to change the world. It's going to change the way in which energy is produced energy is developed delivered to customers and really the impact that it has on connecting lives. I do feel that Accenture C3 technology players and various Industries. Coming together to solve problems is going to change the efficiency of various systems. And the faster we can do that the more collaboratively we can do that the more openly we can do that the better off it is for all outcomes essentially for Humanity.

  • Haavard Oestensen

    Managing Director

    “With what we can do with C3 AI now, with infusing artificial intelligence with digital twins, I just think that there’s a vast opportunity landscape out there.”

    Transcript

    As Kongsberg Digital, we've made the investments in digital twin technology and you know we've gone from the "why" line of questions to the "how" line of questions. With what we can do with C3 AI now, with infusing artificial intelligence with digital twins, I just think that there's a vast opportunity landscape out there. We've gained some excellent experience working with large operators over the past few years making this now, very tangible. Yeah, I have to say I'm very impressed. Even more importantly it engages the people, it actually allows them to feel better about making decisions.

    They shift their work from from staging. They are preparing data, spending lots of time upfront accessing different systems and maybe doing ad hoc checkouts of data etc. and moving that in more straight into the analytical context where they can apply, you know, critical thinking and we see that being more of that the future in terms of how people do their work with these digital capabilities.

  • Thibault Wache

    Senior Partner Development Manager

    “With C3, we have proven value, we have proven customers, and that’s where it can really make a difference.”

    Transcript

    I mean definitely C3 is a strategic partner for for Microsoft and we were working together in order to accelerate Enterprise AI projects and the fact that we're working together is definitely to be able to accelerate time to Market and time to value with customers. With history, we have proven value. We have proven customers and that's where I can really make the difference. When you provide some specific application where you solving a complex problem that customer might not be able to solve on their own anyway. What we see is that customer when they are convinced about the technology.

    I mean, they deploy massively and they increase use cases the scale. They go to other factories other use cases Etc. So this is once you're convinced about the values that the solution is bringing your you're gonna expand. I think they should really feel confident to embrace. I mean AI with history technology

  • Mike Lee

    Managing Director, Healthcare

    “I think C3 is ambitious and innovative, and does a good job of pushing the envelope with their partners.”

    Transcript

    The pwc's Consulting arm is broken up into a variety of disciplines. I primary focus on large payers and large Health Systems as well as the different kinds of vendors that support those particular aspects of the healthcare business. So each of those kinds of entities are approaching the digital transformation differently. They will be at different stages, but they're all having the same questions. It'll be more about how can we introduce this transformation at scale in a manner that produces results quickly and that can build upon itself over time working not just with our firm PPC but with also their existing Investments and their people And I'll be transparent when I first came to understand our work with C3.

    I didn't quite understand how CD was different relative to some other companies that are out there. And I might have a much stronger understanding now of the scale at which C3 can deliver capabilities. There's not enough day of scientists and Engineers out there to do this work on a regular basis and yet the need to transform digitally and apply AI in all the most important use cases those demands exist today and have been frankly in thecube for a while. And so I think C3 for PWC is particularly interesting because we have a lot of the right resources, but everyone's working on different platforms. And so the idea of being able to combine those resources on the same platform to deliver specific outcomes for our clients.

    It's pretty interesting. I think C3 is ambitious and innovative. And you know, it does a good job of pushing the envelope with their Partners that's in particular.

  • Shauna Sampson

    WW Director, C3 AI Partnership

    “C3 is incredibly innovative. They are likely to push you, as a customer, to think differently.”

    Transcript

    C3 is a unique partner and a strategic partner of Microsoft. We have a lot of customers who are really asking more from both of our companies to help them transform. If you look left to right across the platform. What you will see is the ability for C3 to really work across all of the Legacy systems and you know any other kind of application a customer might want to deliver insight and value. Shop for AI responsible AI is to really change every person's experience on the planet for the better our missions C3 and Microsoft are so closely aligned.

    C3 is incredibly Innovative. They're likely going to push you as a customer to think differently. We really see an opportunity to really help our customers transform much more rapidly with C3. You really want the collaboration between C3 and Microsoft with the partner. And really see tremendous opportunity together with our customers.

  • Lorenzo Simonelli

    Chairman and CEO

    “Most people start off by thinking they can do it themselves. It is not easy to digitally transform. Go to the experts. C3 AI provides that expertise.”

  • David A.

    Vice President, C2, Space and Intelligence, Defense and Civil Solutions

    “The ability to keep assets in the field longer provides capability that can ultimately save lives.”

  • Juan Francisco García

    Director, Strategy Business Development

    “C3 AI is the glue that enables us to manage all of our customers current technologies together on one platform.”

  • Rajat Patro

    Sr. Director, Ent. Architecture, Innovation & AI-ML

    “C3 AI provides a comprehensive end to end capability”

  • Naveen Kashyap

    VP, Digital Innovation & Services

    “The differentiator is really the model driven architecture built around C3 AI data types. It is going to simplify application development for Yokogawa while we are serving our customers.”

  • Tim Park

    Team Lead, Processes and Equipment

    “The main thing that we rely on really for C3 is being able to replicate. We make use of the C3 AI Type System, ingesting the data into the type system, allows us to run the same algorithms in many different places.”

  • Christopher Brownlee

    Department Manager, AMI Operations

    “The experience working with C3 has been eye-opening.”

  • Rick S

    Vice Chairman, Technology Investment Banking

    “The applications break outside of the bounds of the IT department, and impact how you do business across every industry.”

  • Jim Hannan

    EVP, CEO Enterprises

    “There’s no question that C3 AI has capabilities we haven’t seen before, with something that gives us a platform to drive enterprise AI.”

  • Scott Parent

    VP, Enterprise Engineering & Technology

    “What the teams found is ingestion is happening about 80% faster with about 1/10 the resources”

  • George Mathew

    CEO & Chairman

    “At this point, there are no competitors to C3. What C3 has built is a next generation application platform that can take AI-driven analytical models and deploy them at scale in production environments.”

  • Scott Fedor

    Digital Transformation Leader, Global Supply Chain

    “The value of the Baker Hughes C3 AI partnership comes from the fact that we're both experts in our own domains.”

  • Dan Brennan

    COO of BakerHughesC3.ai

    “The domain expertise of Baker Hughes and the technology leadership of C3 AI, specifically the C3 AI Suite, accelerates outcomes for our customers and for the market.”

  • Zvonimir Djerfi

    SVP, Commercial BHC3.ai

    “In terms of developing applications, C3 AI is probably 30-40 times faster than what we have seen with others”

  • Holger Mueller

    Vice President and Principal Analyst

    “The unique thing is to start with the data first and use the type system to be able to make sense of the data faster. That is what sets C3 AI completely apart from anybody else.”

  • Christopher W.

    Director, Digital Innovation

    “The best thing that we've seen from a C3 is the intuitive nature and the ease of use of the platform.”

  • Zico Kolter

    Associate Professor, Computer Science Department

    “I really like seeing a single platform that enables a very broad use of AI applications, and a way to let people write their own algorithms on top of this unified architecture.”

  • Frank LaRocca

    Director, Office of the CIO

    “If we can predict where a failure might be and prevent an incident from occurring, that’s the best thing you can do from a utility perspective.”

  • Stephanie Bailey

    Sr. Director, Business Systems Delivery

    “What we had out of C3 AI was a product, eagerness, the ability to deliver, and the ability to understand our data. That was a winner. It’s a small company that acts in a big way.”

  • Todd Probert

    VP C2, Space and Intelligence

    “<span class="author-3817436135" >C3 AI has been a great partner in our endeavor to use AI and ML to make sense of the volume of data that's coming off the various intelligence feeds and from the battlefield</span ><span class="author-3817436135 font-color-000000 font-size-medium">."</span>”

  • Marc Harrington

    Chief Engineer, F-35 Joint Program Office

    “Being able to get to a minimum viable solution within a couple of weeks was just amazing.”

  • Matthias Roese

     

    “With C3, the important point for us is the type system approach which helps us significantly make use of the application landscape.”

  • Donald Rye

    Chief Account Technologist

    “Working with C3 AI is fun, it's about the best way to describe it.”

  • Amy Findlay

    Supervisor of Customer Engagement Strategy, Energy Efficiency

    “Connecting disparate data sets in order to draw the insights that we need and promote the best programs with the right customer is a large focus and that’s what we are using the C3 AI Platform for.”

  • Kara Marshall

    Supervisor Energy Efficiency Business Intelligence Analytics

    “C3 Transform has provided a great amount of context and a lot of information on how others are engaged with C3 AI's products.”

  • Shaf Begen

    Manager, Partner Sales

    “Ultimately C3 delivers real, customer differentiated, value. And this is the type of value that spans beyond multiple divisions and goes enterprise wide.”

  • Dylan Dias

    Chief Executive Officer

    “We elected to work with C3 because of their ability to virtualize data with Virtual Data Lake and because of model management and model lifecycle.”

  • Stephen M. Ward Jr.

    C3 AI Board of Directors

    “Digital transformation is very much like other transformations we have gone through in the last several decades.”

  • Ryan McFarland

    Principal Consultant

    “When comparing C3 AI Suite to a competitive platform, we realized 26x savings in delivery and huge benefits from a cost and quality stand-point.”

  • Patrick Hennen

     

    “C3 is a dream come true for all data scientists because they now have a platform to easily and quickly get data science applications into production.”

  • Jelle Peer

    AI Systems Integrator

    “Working with C3 AI, my experience has been very positive.”

  • Luuk Besselink

    Managing Consultant

    “Ortec decided to partner with C3 AI because we see C3 AI as the missing link in deploying end user applications in data science.”

  • Jeff Leonard

    Systems Manager of Data Architecture

    “We are currently ingesting a billion records a day. With that amount of data, I can’t imagine doing it on other technologies.”