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.

In this networking roundtable session, attendees will have a chance to connect with fellow product peers and learn from each other. Each discussion topic will be led by an expert speaker, who will facilitate and guide the conversation to ensure maximum impact. Discussion topics: 1. Aligning goals: Product managers and internal stakeholder collaboration 2. Business Transformation and continuous improvement 3. Unlocking the full potential of your product lifecycle: Strategies for sustainable growth 4. Cultivating success: Building a mentorship framework for product managers 5. Aligning goals: Product managers and internal stakeholder collaboration