- Navigating imperfect, unpredictable forecasts when trying to balance demand and supply
- Understanding what it takes to make useful forecasting models and the role that AI plays in doing so
- How to navigate ‘wrong’ forecasts that occur from information failures before and after the model is built
- Looking at how intelligent agility can mitigate tradeoffs, even in the face of the tremendous disruptions, and ensure that forecasting feeds into a process that can deliver the value the C-suite expects these days from supply chain
VP, Industry Outreach & Thought Leadership
Polly is the VP of Industry Outreach and Thought Leadership at Kinaxis, a supply chain planning and analytics software company. Previously, she was Director of Analytical Consulting Services at the University of North Carolina Health Care System and worked in various roles at SAS, in Advanced Analytics R&D, as Director of the SAS Global Academic Program, and in Alliances. She has an MBA from the Kenan-Flagler Business School of the University of North Carolina at Chapel Hill, where she also received her BA in Political Science as a Morehead Scholar. She has been very active in INFORMS (the leading professional society for operations research and analytics) and co-founded the third chapter of Women in Machine Learning and Data Science (now more than 60 chapters worldwide).