Break the Rules of Supply Chain Management with AI

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Learn how to forecast demand and reduce waste using Enterprise AI®

What You’ll Learn in This Webcast

What optimal supply chain action means with AI, both predictive and descriptive

How to apply AI to cross-functional challenges in your supply chain using the data you have now

How a system of intelligence can radically improve your systems of planning and systems of execution

About the Speakers

GAURAV PALTA—VP, Enterprise Services,

Gaurav heads the Consumer Goods Business at He is a leading Enterprise AI practitioner and evangelist, blending cutting edge AI capabilities with Human-Centered Design to create transformational shifts in experience and productivity for large enterprises. Focused on solving the hairiest problems in Supply Chain and Commercial Operations, he has supported numerous Fortune 500 clients through their AI journeys. He also regularly partners with other leading Product, Platform and IOT companies to construct viable ecosystem plays. He has an MBA from Washington University and a Bachelors in Marine Engineering and Naval Architecture. Gaurav’s other creative interests include playing guitar and singing for a local Bay Area rock band.

MAHRIAH ALF—Director, Enterprise Services,

Mahriah Alf is a Director within the Enterprise AI Services group at After getting her PhD from MIT in Chemical Engineering, she became interested in the real-world application of analytics and how it could be used to drive business strategy, which lead her to work for 7 years as a management consultant, primarily focusing on supply chain strategy as well as trade promotion optimization, before joining Noodle. She enjoys being active and exploring new areas on bike or foot or in the water (swimming and coaching have always been a passion), and going back to her chemistry roots by testing out the limits of her home kitchen with molecular gastronomy.

James Snyder

JAMES SNYDER—Senior Data Scientist,

James Snyder is a Senior Data Scientist with He specializes in the development of AI/ML systems for supply chain management applications, large-scale nonlinear optimization, and simulation of complex systems. He received his Ph.D. in Chemistry, specializing in quantum mechanics and high-performance computing, from Stanford University and B.S. (Chemistry) from The University of Chicago. He enjoys the culinary arts, including cooking and brewing beer, as well as playing with his 1-year-old daughter.