Join us on October 29 at 9:30 AM PT for a deep dive into Apache Spark™, Spark Connect, and Spark ML at NVIDIA! We’ll explore how Spark Connect, starting in Spark 3.4 and extended to MLlib in Spark 4.0+, enables new client connections and stability benefits. ✅ The session will

SVGENAI #4 meetup recap. - GPU accelerated storage - Jason Harmon (Graid) - Using chatGPT to develop a chess playing Robot - Ryan O Driscoll (Beckhoff) - Software engineering in the age of GenAI - {Jules Damji}=💻📚📝 (Databricks) videos + slides are posted : svgenai.dev/events/2025-09…

I just published a deep dive on building a musical analytics pipeline using Databricks Lakeflow Declarative Pipelines, and the best part? You can learn and experiment with everything using Databricks Free Edition. medium.com/@2twitme/build…

🚨 Reminder: MLflow Community Meetup is tomorrow, Oct 8 at 4:00 PM PT! We'll dive into: 🔹 Trace‑aware, feedback‑aligned judges in MLflow that evaluate answers, retrievals, and steps—and improve with real user feedback. 🔹 Versioned eval datasets that evolve with the app—update,

If you haven’t RSVP, do so if you want hear all about Spark Connect, NVIDIA accelerator for Spark SQL & MLlib #sparkconnect #apachespark

Appreciate the Fremont Fire Department as first responders who help keep us safe from natural disasters. Huge kudos to their efforts!

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Join #MLflow at the upcoming Terminal Bench Meetup at @Databricks HQ on November 6! 🎉 Learn how to build high-quality agents faster with MLflow from Danny Chiao and discover the new, exciting features from Terminal Bench 2.0. 👏 Plus, enjoy food, drinks, and great conversations

Where does the feature platform fit in a world increasingly dominated by AI? At Open Lakehouse + AI Mini Summit, Hao Xu (Apple) shares how Feast is evolving beyond a feature store into a full feature platform for AI—bridging data, models, and applications through innovations

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If you live in the Bay Area, this summit will be of interest to all data engineers, Spark developers, and Open Lakehouse enthusiasts. #apacheSpark #openlakehouse luma.com/OLMS-1113

Full room, great energy, and tons of practical insights at yesterday’s Terminal-Bench 2.0 meetup in SF! 🙌 Danny Chiao (Engineering Lead, @Databricks) provided a hands‑on tour of building high‑quality agents faster with MLflow, and Alex Shaw (Member of Technical Staff,

⚡️ From vector DB to multimodal lakehouse at petabyte scale. Join us in Mountain View on Nov 13 for “Scaling Multimodal AI Lakehouse with Lance & LanceDB” with Chang She (LanceDB) at the Open Lakehouse + AI Mini Summit! Learn: 🔹 Low‑latency random access + search APIs

Join us for the next 𝗠𝗟𝗳𝗹𝗼𝘄 𝗢𝗳𝗳𝗶𝗰𝗲 𝗛𝗼𝘂𝗿𝘀 on Wednesday, November 19 at 3PM SGT, for an open Q&A session with MLflow maintainers and contributors! 🎊 Whether you're managing models in production, experimenting with LLM workflows, or exploring new features in

MLflow Community Meetup | November 12, 2025 x.com/i/broadcasts/1…

ICYMI, our MLflow Meetup last week on: 👉🏻 Rapidly prototype an Agent with/ Claude Code and Claude Agent SDK Tracing in #MLflow 👉🏻Support for OTEL for Tracing in MLflow, ingest #otel traces from external clients youtu.be/Y4we1zI916o

Autonomous Agents are the future. 🤖 We'll dive into the ✌︎︎ pillars: 1️⃣MLflow GenAI: For essential evaluation 2️⃣ NANDA: For Decentralized coordination & open-source agent infra Join us for demos, discussion & takeaways! RSVP: luma.com/kt7mj2t6 #MLflow #GenAI s #Nanda

At the Terminal‑Bench 2.0 meetup in SF, Danny Chiao (Engineering Lead, @Databricks) shared how to improve AI agent quality faster with MLflow—covering tracing, evaluation with human feedback & LLM judges, and production monitoring. 🚀 Missed it? 🎥 Watch here: