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.