In a world of constant change, product teams need more than just intuition—they need engineered intelligence. Join us for a dynamic discussion that moves beyond theory to explore the practical AI and data foundations required for predictive product leadership. We'll dive into the technical blueprints and strategic shifts that empower product teams to anticipate needs, optimize resources, and build unwavering trust. Our expert panel will uncover practical strategies for: - Building your data moat: Learn how to design and govern the data pipelines that fuel powerful AI, including how to leverage unstructured insights. - The MLOps imperative: Discover how to reliably deploy, monitor, and scale machine learning models for continuous product improvement. - AI-driven optimization: See how to use AI for advanced experimentation, hyper-personalization, and dynamic product optimization. - Responsible AI in practice: Understand how to engineer fairness, transparency, and privacy directly into your AI systems from day one. This panel is essential for any product leader ready to build truly intelligent products for an AI-first world.