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Reminder: Early Bird Pricing Ends on Friday
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HYBRID AI 2026's keynote presentations have been curated with one goal in mind: helping you achieve the AI value everyone talks about but few realize.
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Keynote on Generative Architecture: An Imperative for AI Validation in the Architecture, Engineering, and Construction Industry
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The adoption of AI in technical fields is fueling a need for more rigorous, more modular, and more domain-specific validation frameworks. At Anori, Alphabet X’s moonshot for housing and development, we are applying multimodal generative AI to make building and development dramatically faster, less costly and more efficient. The architecture, engineering, and construction industry suffers from entrenched inefficiency due to the highly constrained, highly regulated, and regionally-specific nature of building development that currently relies on numerous domain experts to sequentially flesh out a design.
Anori is creating a unified AI platform to change the paradigm and make it possible to design for many of these constraints simultaneously. Importantly, building design requires more than just beautiful images and eloquent descriptions: it requires engineering precision, regulatory compliance, and functional performance. In this setting, it is critical to have rigorous frameworks for evaluating model outputs at each step of the process, including both automated validation and human feedback. In this talk, we’ll discuss frameworks to bring transparency, diagnosability, and specificity to the model validation process.
More info here.
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Keynote: Context Engineering: How Machines Remember and Forget
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The ‘magic moment’ for AI agents is hidden in the memory layer. Context Engineering is the art of shaping what an AI model knows at any moment by managing how information enters, persists, or fades from its working memory. In this session, we explore how machine learning systems “remember” through state objects, notes, and retrieval—and how they manage context using compression, selection, and context limits. We’ll walk through real-world agent patterns that balance personalization with privacy, performance, and relevance. Participants will learn practical techniques to design memory that feels intentional, evolving, and human-aware.
More info here.
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Keynote: AI Transformation Hinges on Very Particular Organizational Requirements
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With an extensive record serving executive roles at the likes of Starbucks, GM, and State Farm, Jon Francis has learned what makes the difference between scalable AI systems and those that never get beyond pilots or even just ideation. “Here’s a hint,” he says. “At most companies, it has almost nothing to do with the math or technology, but instead hinges on culture, transformation, and change management.”
Join this fireside-chat keynote, where Machine Learning Week founder Eric Siegel will interview Francis and dive in.
More info here.
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Keynote: The AI-Value Sweet Spot: Blending LLMs with Enterprise ML
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IBM Chief Data Scientist Kirk Mettler is one of those seasoned analytics veterans who don’t buy most of the AI hype – but still see a vital role for LLMs. His perspective plays out fortuitously as he dives into the weeds of advanced projects, even while he manages a large team of data scientists, data engineers, and other data professionals. “Today’s sky-rocketing investment into LLMs is just plain inappropriate,” Mettler says, “And yet, not leveraging LLMs to augment predictive AI projects would be just as inappropriate! We hit the sweet spot by blending LLMs with the time-honored tradition of enterprise machine learning.”
Conference Founder Eric Siegel will interview Mettler, digging in for what promises to be an extremely enlightening fireside keynote chat.
More info here.
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What's different about Hybrid AI 2026?
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At this event, we're covering new methods that take on today's most vital AI mission: closing the gap between AI hype and AI's practical, realized value.
How can practitioners get genAI pilots to production – and get predictive AI from development to deployment – considering that the success rates are still extremely low?
Join the leading experts tackling these issues at HYBRID AI 2026. Take the opportunity to talk to them, as well as listen and and find the solutions to some of your key 2026 challenges in machine learning, hybrid AI and predictive analytics.
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Early Bird Pricing Ends This Week, Friday February 13
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