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Can AI really spot risks faster than any sensor? How far are we from the autonomous supply chain? In this episode of the AI at Scale podcast, Mike Labhart, North America Global Supply Chain Director for Smart Operations & Data Analytics of Schneider Electric, walks us through the most valuable AI use cases in manufacturing and what’s next in smart factories.

What you will learn from this conversation :

- how AI detects safety risks earlier than traditional sensors, from smoke to missing Personal Protection Equipment (PPE),

- how deep‑learning and image recognition improves quality and helps to identify ergonomics risks across dozens of sites,

- how machine learning prevents costly downtime thanks to predictive maintenance,

- why clean, consistent data naming is key to scaling AI across factories,

- what agentic AI means for the future of manufacturing,

- why autonomous supply chains are within reach now.

Get a unique chance to hear directly from a seasoned smart factory leader on what it means to build AI that powers the next generation of factories.

Mike Labhart: On the shopfloor of AI-driven factories