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 agents
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
Featured Presenter
Praveen Kapse
VP & BU Head
Parth Sinha
Head of Data Science
