For product leaders, engineered intelligence is key to foresight and adaptation. This panel dissects the technical and strategic essentials of building a robust AI and data foundation for predictive product leadership. We'll cover practical approaches to: - Building your "data moat": Designing and governing data pipelines, including dark and unstructured insights. - The MLOps imperative: Scaling and maintaining reliable machine learning models. - AI-driven optimization: Leveraging AI for advanced experimentation, personalization, and dynamic product enhancements. - Responsible AI in practice: Engineering fairness, transparency, and privacy into AI systems. Gain critical insights into the technical blueprints and strategic shifts for building truly intelligent products that anticipate needs, optimize resources, and earn trust in an AI-first world.

The role of the Product Leader has evolved dramatically from tactical execution to a pivotal strategic function. No longer confined to merely managing feature backlogs and release schedules, today's senior Product Leaders are increasingly expected to be true growth drivers and strategic partners at the executive table. This panel will explore how visionary Product Leaders transcend the traditional boundaries of roadmap management to actively shape, influence, and drive overarching company strategy and sustainable growth. We will delve into how CPOs and VPs of Product translate market insights into actionable business opportunities, align product vision with enterprise-level objectives, and leverage product-led approaches to unlock new revenue streams and secure competitive advantage. Join us to discover the frameworks, leadership principles, and critical shifts required for Product Leaders to move beyond the operational and truly become architects of their company's future success.