Supply chains are at a decisive inflection point. Demand volatility, supplier disruption, logistics constraints, and geopolitical uncertainty continue to test global operating models. While AI is already improving automation, forecasting, and route optimization, its greatest potential lies in transforming the business processes that drive supply chain performance across planning, sourcing, and delivery. This discussion focuses on business decisions and logistics outcomes rather than manufacturing operations or IoT-led architectures.

Real business value comes from combining enterprise data, business context, process knowledge, and governance to enable trusted AI-driven decisions at scale. Join LTM, AWS, and Snowflake for an executive dialogue on how organizations can move beyond isolated AI use cases toward scalable, outcome-led transformation, leveraging industry expertise, reusable AI assets, prebuilt data models, and proven delivery approaches to accelerate measurable business impact. 

• Engage with senior supply chain and logistics leaders on how AI is transforming planning, sourcing, and delivery
• Learn how leading enterprises are moving from AI experimentation to measurable operational outcomes
• Explore the practical building blocks of trusted AI, including data, business context, governance, process knowledge, and adoption discipline.
• Understand how the combined LTM, AWS, and Snowflake ecosystem accelerates value while keeping the focus on business outcomes.
• Exchange perspectives with peers in a curated executive forum designed for open discussion rather than product demonstrations.