To lead in a world of constant change, product teams need engineered intelligence. This panel will explore the vital AI and data foundations required for predictive product leadership. We'll move beyond theory to discuss the technical infrastructure, methods, and talent that transform raw data into actionable, automated insights. Join us to uncover practical strategies for: Building Your "Data Moat": Designing and governing the data pipelines that fuel powerful AI, including leveraging dark and unstructured insights. The MLOps Imperative: Deploying, monitoring, and scaling machine learning models reliably for continuous product improvement. AI-Driven Optimization: Using AI for advanced experimentation, hyper-personalization, and dynamic product optimization. Responsible AI in Practice: Engineering fairness, transparency, and privacy directly into your AI systems from day one. This session offers product leaders essential insights into the technical blueprints and strategic shifts needed to build truly intelligent products that anticipate needs, optimize resources, and earn unwavering trust in an AI-first world.