A practical, no-hype talk on how to implement Generative AI and machine learning in real products. I share a clear framework for moving from idea to production, including how to choose the right use cases, design AI experiences users trust, build the architecture and data foundation, evaluate quality and safety, and measure ROI. The session also covers hard-earned lessons from shipping AI features at scale, including governance, human-in-the-loop patterns, and what it takes to operationalize AI across an organization.