AI promises scale, efficiency, and speed—but many implementations stall due to preventable pitfalls. This seminar focuses on where companies go wrong: fragmented data, unclear objectives, tool-first decision making, and lack of governance. Successful organizations start by defining business outcomes, establishing data readiness, and applying AI within a structured operating model.

Drawing on enterprise frameworks used at PepsiCo, Douglas Hungerford explains how large organizations evaluate AI use cases, manage risk, and scale infrastructure responsibly. Attendees will gain a practical approach for aligning AI investments to real business objectives, strengthening data foundations, and deploying AI systems that support smarter decisions, faster execution, and sustainable growth.