Reimagine your operations with a plant graph that thinks, reasons, and explains — like an engineer.
In today’s complex industrial environments, data alone is not enough. True process intelligence demands context — and Agentic AI is the missing link.
This webinar introduces how organizations can build a Digital Process DNA using a plant-wide knowledge graph, enriched with engineering, SAP, sensor, and document context. Layered with Agentic AI, this enables autonomous traceability, root cause investigation, and real-time decision support.
We’ll showcase how AI agents trained on this context can trace flows, faults, and fixes — across time, teams, and tools — without manual stitching.
Key Takeaways:
- What is Process DNA and how it transforms traceability
- How to build a contextualized knowledge graph from sensors, assets, events, and documents
- How Agentic AI agents traverse the plant graph to explain, diagnose, and act
- Real-world use cases: emissions events, equipment downtime, compliance reporting
- A look into the future: GenAI and self-healing operations powered by process-aware agent.
Agenda:
Topic
- Welcome & Industry Context
- Building Process DNA: Architecture & Contextualization
- Enabling Agentic AI: From Graph to Intelligent Agents
- Real-World Use Cases & Demo
- Q&A and Next Steps
