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IMPORTANT: REGISTER ON LUMA TO BE ACCEPTED.
Join us at 42 Berlin for a special evening of live demos, deep technical dives, and hands-on discussions on building, scaling, and actually integrating AI agents in production. You’ll hear from folks at Google DeepMind, DataStax, and Arize AI—each bringing real-world engineering insights into how they’re enabling agent systems to interoperate through protocols like A2A and MCP. The night wraps with a live collaborative session where the agents built by each team will connect in real time. Expect fewer buzzwords, more GitHub links—and maybe a few spicy takes on what it really takes to move agents from toy problems to production.
🎤 Speakers Patrick Loeber Senior Developer Relations Engineer, Google DeepMind → Building AI Agents with Google Gemini A look at how Google Gemini enables multimodal agents and supports workflows across the Google ecosystem—laying the groundwork for interoperability through A2A.
Tejas Kumar Developer Relations Engineer, Generative AI, DataStax → Live Coding: Agents with DataStax + MCP See how real-time pipelines and the Model Context Protocol help agents make better decisions. Expect a full-stack walkthrough—no fluff.
Dat Daryl Ngo Director of Solutions, Arize AI → Evaluating & Scaling AI Agents for Production From observability to bottlenecks: how to actually get agents working in production environments, especially in the messiness of A2A-compatible systems.
🗓️ Agenda 17:30 — Check-in, food & drinks 18:00 — Welcome & MLOps Berlin Relaunch (Ali Qeblawi) 18:05 — Patrick Loeber (Google DeepMind) 18:45 — Tejas Kumar (DataStax) 19:15 — Daryl (Arize AI) 19:45 — Break 19:55 — Live Demo: Connecting the Agents (Google DeepMind × DataStax × Arize AI) 20:25 — Closing remarks 20:30 — Networking until close
💡 Why Attend?
IMPORTANT: REGISTER ON LUMA TO BE ACCEPTED.
Sessions & talks
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Live demonstration of connecting agents built by Google DeepMind, DataStax, and Arize AI in real time.
From observability to bottlenecks: how to actually get agents working in production environments, especially in the messiness of A2A-compatible systems.
See how real-time pipelines and the Model Context Protocol help agents make better decisions. Expect a full-stack walkthrough—no fluff.
A look at how Google Gemini enables multimodal agents and supports workflows across the Google ecosystem—laying the groundwork for interoperability through A2A.