João Moura

The next great platform shift isn't a model. It's the infrastructure that turns models into autonomous action. Just as cloud produced a layered stack of open technologies, the agentic era is producing its own, defined right now, in the open. This panel brings together the founders building each layer: how agents are constructed, how they collaborate as teams, how context is processed and made agent-ready, and how they're governed at scale. Together, they'll discuss what the "Linux moment" for agents looks like and what it means when the most consequential software in an enterprise writes itself. The big questions: - Where does the open platform stack land in next 2-3 years - a thriving ecosystem or a consolidated stack? - What happens when agents become the primary consumers of infrastructure, not humans? - When does multi-agent coordination actually outperform a single well-built agent and when is it just complexity for complexity's sake? - Who owns accountability when an open-source agent takes an autonomous action on production data? - How do agents process context differently than humans? What are the implications on how context must be processed and exposed through tool…

The industry is racing toward fully autonomous agents, yet enterprise deployments keep hitting the same barrier: production-grade confidence. Is full autonomy really the end goal, or will human-in-the-loop remain a permanent and essential layer of enterprise AI? And beyond autonomy, what other paths can give enterprises the confidence required for production use?

AI agents are moving from demo to deployment — and the implications for enterprise leaders are massive. Hear directly from João Moura (CEO and Founder at CrewAI), Madison Faulkner (Partner at NEA Ventures and Head of Strategy at Factory.ai), Spiros Xanthos (CEO and Founder at Resolve.ai) and Anahita Tafvizi (Chief Data and AI Officer at Snowflake) on how they are enabling the era of the Agentic Enterprise through AI agents. Moderated by Chris Yeh (GP at Blitzscaling Ventures), this panel explores what it means to bring agentic AI to the Agentic Enterprise, why trusted data is the foundation agents need and how forward-thinking enterprises are already putting agents to work. A candid conversation at the frontier of enterprise AI. This session is being conducted under Chatham House Rules. To foster an open and candid discussion, participants are expected to treat all information shared during the session as confidential. Information, comments, viewpoints, and materials discussed may not be referenced, disclosed, attributed, distributed, or shared outside of this session without the express permission of the organizers and participants.

"This talk is about a simple idea: Everyone should be able to use AI to make cool stuff. When I started making crewAI, a framework to build AI Agents, I didn't know just how much it would change the way I work. This isn't just a chat about building AI Agents; it's a story about how these tools helped us grow our business and how they can help you too.

In this workshop, explore the hardware and software optimizations available for deep learning model deployment, when and how to use them, and the impact on the model performance and cost. Learn how to run hundreds of deep learning models using Amazon SageMaker multi-model endpoints and reduce model serving costs.