Machine Learning Week presents HYBRID AI 2026, a conference taking place in San Francisco on May 5-6, 2026, at The Clift Royal Sonesta. The event is open to professionals in the field of artificial intelligence, data science, and related disciplines. Keynote speakers include Dr. Eric Siegel, Dr. Eric Siegel, Kirk Mettler, Julia Ling, Emre Okcular, and Jon Francis, who will share their insights on the latest advancements and challenges in AI. The conference program features a series of keynotes, each focusing on a specific aspect of AI. On Tuesday, May 5, 2026, Dr. Eric Siegel will deliver a keynote on "Predictive AI's New Killer App: GenAI's Reliability Layer," discussing the importance of a reliability layer to tame large language models. Kirk Mettler will present "The AI-Value Sweet Spot: Blending LLMs with Enterprise ML," highlighting the benefits of combining LLMs with enterprise machine learning. Julia Ling will discuss "Generative Architecture: An Imperative for AI Validation in the Architecture, Engineering, and Construction Industry," focusing on the need for rigorous validation frameworks in AI-driven design. On Wednesday, May 6, 2026, Emre Okcular will deliver a keynote on "Context Engineering: How Machines Remember and Forget," exploring the art of shaping AI models' working memory. Jon Francis will share his expertise on "AI Transformation Hinges on Very Particular Organizational Requirements," emphasizing the importance of culture, transformation, and change management in AI implementation. The conference aims to address the challenges of getting genAI pilots to production and predictive AI from development to deployment, with a focus on hybrid AI and the development of a reliability layer to tame large language models.