C3 AI Reliability is an AI-powered predictive maintenance application that enables enterprises to improve asset uptime and operational productivity. The application unifies operational data from multiple sources and applies advanced machine learning, natural language processing, and generative AI techniques to identify equipment risks in advance, provide digestible insight summaries, and generate recommended actions to help reduce downtime and maintenance costs.
Reduction in unplanned
downtime
Improvement in operational
productivity
Reduction in false
alerts
Reduction in alert triage
time
Get Accurate, Thorough, and Explainable Answers to your Asset Reliability Questions.
Ask questions in natural language to rapidly retrieve relevant asset data, AI recommendations, and reliability insights, uncovering emerging operational risks and avoiding disruptions. Leverage generative AI-powered enterprise search to access institutional knowledge trapped in unstructured data such as maintenance records and equipment manuals.
C3 Generative AI is available with C3 AI Reliability and as a standalone capability deployable against customer datasets and applications.
Monitor asset health and accurately predict failures with unified data and AI-powered risk predictions
Eliminate false alerts and enable early and accurate alerts using machine learning and domain expertise
Collaborate on a single platform that brings together data, alerts, diagnostics, and cases from multiple systems
Unlock access to operational expertise via automatic failure mode identification and generative AI-enabled search and chat
Scale across equipment types and size of operations with a flexible out-of-the-box AI solution
Working with C3 AI, Georgia-Pacific (GP) has emerged as an industry leader in the adoption of AI systems in the manufacturing industry.
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