From Swiss chocolate to global factories, discover how AI is turning industrial data into real manufacturing intelligence.
In this episode, I sit down with Bernard, co-founder of Ethan AI, to explore the seismic shift happening as machines move from simply reacting to truly understanding their own processes. We dive into how knowledge graphs, causal AI, and computer vision are transforming manufacturing—from chocolate factories in Switzerland to global giants like Siemens and Bosch.
We discuss the real impact of connecting siloed industrial data, the journey from correlation to causation, and what it means for the people on the shop floor. Bernard shares concrete examples of AI-driven quality control, autonomous process optimization, and the evolving role of operators. Join me for a conversation that peeks into the future of manufacturing intelligence—and what it takes to build the digital quality engineers of tomorrow.
Siemens
https://www.siemens.com/global/en.html
ETH Zurich
World Economic Forum (WEF)
Bosch
Lindt & Sprüngli
https://www.lindt-spruengli.com/
Knowledge Graph
https://en.wikipedia.org/wiki/Knowledge_graph
Causal AI
Computer Vision
https://en.wikipedia.org/wiki/Computer_vision
Process Mining
https://en.wikipedia.org/wiki/Process_mining
Siemens Accelerator Marketplace
https://siemens.com/accelerator
Spurious Correlations (Book)
https://www.tylervigen.com/spurious-correlations
MES (Manufacturing Execution System)
https://en.wikipedia.org/wiki/Manufacturingexecutionsystem
OPC UA
https://opcfoundation.org/about/opc-technologies/opc-ua/