What if your best employee could train an AI system, so no knowledge is lost when they retire? In this episode of Reliability 4.0, we sit down with Ron Norris, former Director of Innovation at Georgia-Pacific and now founder of Advanced Innovation Management (AIM), to unpack how he used causal AI to capture decades of expert knowledge and improve operational decision-making across supply chain, procurement, and more.
We dig into:
🔸 What causal AI is, and why it’s different from traditional AI
🔸 How it helped increase touchless order processing from “a single digit to 90%”
🔸 Why knowledge + data > data alone
🔸 How to use AI for hypothesis testing and explainable decisions
🔸 What this means for the next generation of RCA and reliability tools
If you’re facing a wave of retirements, struggling with knowledge transfer, or curious about the role of AI in root cause analysis, this episode will spark new ideas.
This episode is available on:
📺 YouTube:
Or wherever you get your podcasts!
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