Sep 23, 4:00 – 7:30 PM (UTC)
61 RSVPs
We're bringing together the open source and data engineering community for an evening focused on the latest in open lakehouse and AI architectures! 🚀 Whether you work on data infrastructure, contribute to open source, or want to dive into the future of AI and interoperable lakehouse systems, you’ll fit right in.
Don't miss this opportunity to accelerate your data journey and contribute to shaping the future of data and AI! 🌟
6:00 - 7:00 PM: Registration / Mingling
7:00 - 7:05 PM: Welcome Remarks / Housekeeping
7:05 - 7:35 PM: Session #1: Unity Catalog (You Can Go Your Own Way....Go Your Own Way)
7:35 - 8:20 PM: Session #2: Omnigent - A Meta Harness for AI Agents
8:20 - 8:45 PM: Session #3: AI Agents at Every Scale: Personal, Team, and Data Workflows
8:45 - 9:30 PM: Networking / Light Bites
Lakehouse users are used to advanced catalog features and conveniences from their lakehouse environments. Across the company, from CSIOs, compliance officers, and security champions, and everyone in between, the pressures of AI continue to pile on demands and wishes onto the platforms of today.
In this talk, we’ll demonstrate the building blocks and features of the composable lakehouse. We’ll teach you the mental models and showcase architectures for implementing these advanced features in on-premises or hybrid deployments.
Omnigent is an open-source meta-harness that allows developers to use multiple coding agent harnesses of their choice.
In this talk we will share the merits and features of why to use a meta-harness, how you can collaborate on your work, exercise control, and choose your coding agent harnesses. We will walk through a demo showcasing its developer friendly workflow and its features, including capturing OTel traces for observability with tools like MLflow.
AI agents are no longer just experimental demos: they're powering real workflows at every scale. At Hugging Face, we've been using agents that help individuals do their work, enable teams to coordinate, and autonomously process data at scale. In this talk, I'll walk through what we've built across these three layers, the open-source models and tools that make it possible, and the practical challenges to enable real usage.
Wednesday, September 23, 2026
4:00 PM – 7:30 PM (UTC)
Databricks
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Databricks
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Databricks
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Databricks
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Databricks, Inc
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Databricks
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