Todd brings extensive expertise in AI strategy. He studied AI at Stanford and co-founded a successful data science consultancy. He has advised Fortune 500 companies and the U.S. Congress on AI strategy and has presented on AI at conferences, including MIT’s National Conference for Chief Data Officers.
Jeffrey Porter brings more than 35 years of experience in distribution and manufacturing. He began his career at Andersen Consulting and later served as a manufacturing development engineer at Hewlett-Packard. Jeffrey holds a BSc in Engineering, an MBA from Colorado State University, and a Certification in Purchasing Management. He is also a longtime member of Vistage, an executive coaching organization for business leaders.
AI continues to evolve rapidly, but its practical application in demand forecasting and supply chain planning remains complex. In this session, will explore how organizations are approaching AI in real-world settings: what’s currently possible, where human expertise remains essential, and how to assess and advance your team’s AI maturity.
You will learn:
- Common misconceptions about AI in forecasting
- How AI is being used to improve forecast accuracy and responsiveness
- The evolving relationship between statistical models, AI, and planner oversight
- Key considerations for evaluating your AI readiness and maturity
- What future developments in AI may mean for planning organizations