Only 4 in 10 organizations have moved beyond the experimental phase of AI — not because the technology isn’t ready, but because the path from pilot to production requires more than good models. It demands the right architecture, organizational alignment, and strategic clarity. In this session, our speakers will share what separates AI experiments from AI outcomes: the common failure points, the architectural decisions that matter most, and how to build a cloud foundation that scales. Whether you’re just starting out or stuck mid-deployment, you’ll leave with a practical framework for turning AI potential into business results.