Keynote Panel : AI in Supply chain
summary
Panel argues current supply chains fail for lack of shared, staged data across SAP/Oracle/mainframes and spreadsheets, and shows work building IoT embedded sensing and anomaly detection to raise state awareness. Microsoft ships a preview product for disruption insight and teams use simulation plus optimization and offline reinforcement learning to explore policies without breaking operations. Major claims: semantic data staging, privacy-preserving partner sharing, and small-neighbor co-optimize with partners coordination beat isolated local fixes.
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chapters (9)
- 0:00AI in supply chain
- 1:12Panelist backgrounds
- 4:43Supply chain complexity
- 9:55AI for disruption
- 13:24Software in transformation
- 17:57Supply chain data challenges
- 23:19Data collection hurdles
- 26:27AI and operations research
- 30:17Closing thoughts
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