Keynote Composable Parts of the AI Lakehouse Pedro Pedreira, Meta
As AI becomes data’s biggest customer, the components of the Lakehouse must evolve. This talk explores how Lakehouse workloads evolved to power AI, from batch ETL and interactive analytics, to training data preparation, AI agentic workload, and feeding data-hungry GPU trainers at scale. The talk presents how Velox is enabling this new era, and discusses new open source projects that are also becoming foundational parts of the AI Lakehouse, including Nimble, A11, Axiom, and Collagen.

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Veloxifying Spark workloads at Meta Ankur Pathela, Meta

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FULL DISCUSSION: Google's Demis Hassabis, Anthropic's Dario Amodei Debate the World After AGI | AI1G

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Keynote Hardware Acceleration for training Orri Erling, MEta

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OpenAI founder admits AI isn’t working

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Why The Russian Accent Terrifies Everyone

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RTX Spark Is Already Making People Mad

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Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker

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The Uncomfortable Truth About AI “Reasoning” | World Science Festival

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Axiom Vision and Architecture Masha Basmanova, Meta

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Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan

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Demystifying CXL Memory Computation Yongil Jung, XCENA

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Conan O’Brien Delivers the Commencement Address | Harvard Commencement 2026

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Building the PERFECT Linux PC with Linus Torvalds

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Trump im Umfragetief | Überteuerte WM-Tickets | FDP-Comeback? | heute-show vom 05.06.2026

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🚨Hegseth BANNED and KICKED OUT OF COUNTRY after STUNT!!

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Leading in the Age of AI: A Conversation with NVIDIA CEO Jensen Huang | Global Conference 2026

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The World's Most Important Machine

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Atachen Gluten Architecture, Ecosystem Yuan Zhou, IBM

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Watch Ukrainian Drones OBLITERATE a Russian Jet

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