Discover how domain expertise and AI merge to solve complex plant problems—no coding required. Can experience be replaced by intelligence?
In this episode, I sit down with Scott Duncan, a chemical engineer who built an agentic manufacturing troubleshooting assistant—without any coding background. We dive into the real-world challenges of process manufacturing and how AI is transforming the way plant issues are solved. Scott shares his journey from hands-on troubleshooting to leveraging large language models, knowledge graphs, and real-time data for smarter, faster problem-solving. We also debate the future of domain expertise in an AI-driven world and what it means for education and workforce development. Join me as we explore the potential—and the limitations—of AI in reshaping the future of industrial operations.
NXAI
Claude Code
https://www.anthropic.com/news/claude-3-opus-sonnet-haiku
MATLAB
https://www.mathworks.com/products/matlab.html
OPC Foundation
OPC UA
https://opcfoundation.org/about/opc-technologies/opc-ua/
PI System
https://www.aveva.com/en/products/pi-system/
RAG (Retrieval-Augmented Generation)
https://en.wikipedia.org/wiki/Retrieval-augmented_generation
Knowledge Graph
https://en.wikipedia.org/wiki/Knowledge_graph