This is the second episode of a two-part series on how AI is transforming best practices in supply chain risk management.
In the first episode of this series, we learned how AI and Generative AI turns the traditional cylinder-shaped data stream of supply chain risk issues into the shape of an hourglass, where AI-driven practices can create a pinch point in the middle that makes supply chain details far more manageable.
Craig Moss, Executive Vice President, Measurement at Ethisphere, and noted AI researcher Dave Ferrucci discuss how to use all of that data to inform and empower better supply chain analysis and decision-making by extrapolating data subsets across your entire supply chain.
3:57: Building trust & transparency into AI results
7:27: Quality in, quality out
14:16: Extrapolating residual risk subsets across the entire supply chain
18:42: Communicating AI-driven updates
