- What is Enterprise AI
- Introduction: A New Technology Stack
- Requirements of the New Enterprise AI Technology Stack
- Reference AI Software Platform
- Awash in “AI Platforms”
- “Do It Yourself” AI?
- The Gordian Knot of Structured Programming
- Cloud Vendor Tools
- C3 AI Platform: What is Model-Driven Architecture
- Platform Independence: Multi-Cloud and Polyglot Cloud Deployment
- Conclusion: A Tested, Proven AI Platform
- Enterprise AI Best Practices
- Enterprise AI Buyer’s Guide
- 10 Core Principles of Enterprise AI
- IT for Enterprise AI
- Develop AI 26X Faster on AWS
- Develop AI 18X Faster on Azure
- Enterprise AI Resources
Best Practices in Developing an Enterprise AI Roadmap
To get the complete report, click on the following Download Report button.
Digital transformation is an enterprise-wide undertaking with broad implications for how new information technologies will be implemented and business processes will be changed to drive value. As a core enabler of their digital transformation programs, organizations will develop and deploy tens or hundreds of enterprise AI applications across their operations.
This paper provides a proven methodology and best practices for building an effective AI roadmap that identifies, evaluates, and prioritizes high-value AI use cases. The methodology is derived from C3 AI’s more than 10 years of experience in working with leading organizations globally to develop and deploy AI applications at enterprise scale.
Contents of this paper include detailed guidance in how to:
- Analyze the Business – how to identify key opportunities to apply AI
- Write the Business Use Case – define the problem statement, business value, scope, requirements, and delivery timeline
- Qualify Use Cases – how to determine business value and feasibility
- Build the Enterprise AI Roadmap – how to prioritize and sequence use cases for implementation

