Databricks

Data serves as a competitive moat in the age of AI Databricks VP of AI Naveen Rao joined SiliconANGLE & theCUBE’s John Furrier to discuss the importance of an evaluation-first mindset, how agent-driven model evaluations support GenAI at scale, and practical steps for getting AI into production. Watch the full conversation from #RAISESummit 2025: https://lnkd.in/gRJFz78G

When every second counts, GoGuardian helps protect half of U.S. K–12 students—blocking harmful content while allowing access to educationally appropriate materials anywhere, anytime. But scaling these safety systems across billions of daily inferences was no small task. With the Data Intelligence Platform, GoGuardian unified its data and AI stack to power real-time, privacy-first safety systems—while cutting infrastructure complexity and cost. The impact: • 90% cost savings with their content-filtering model • 62% drop in inappropriate device usage • Up to 50% lower ML operational costs Now, educators get smarter tools—and students get safer, more focused learning. See how GoGuardian did it → https://lnkd.in/g5Jj5myt

Lakeflow Connect just got some major upgrades — making data ingestion faster, easier, and more scalable than ever. New fully managed connectors expand the breadth of data ingestion sources, including new query-based connectors for databases. We also recently introduced Zerobus, a direct write API that simplifies ingestion for IoT, clickstream, telemetry and other similar use cases. See it in action: https://lnkd.in/gUwX3fzw

Nick Karpov and Holly Smith break down our latest features and updates – Lakebase, Agent Bricks, MCP on Databricks, MLflow 3.0, and more – and whiteboard how they all connect in one cohesive architecture Watch the latest episode of Over Architected: https://lnkd.in/gXEJyi_X

At Databricks, we use reinforcement learning with verifiable rewards (RLVR) to develop reasoning models that help our customers solve real-world problems and power our own products like Databricks Assistant and AI/BI Genie. The Mosaic Research Team shares how they used RLVR to train a top-tier SQL reasoning model using off-the-shelf data, setting a new state-of-the-art benchmark on BIRD. Their recipe is powerful, composable, and widely applicable to a range of tasks. Learn more: https://lnkd.in/gViJ6MnR

Since launching AI/BI Genie and Databricks One, we’ve continued to improve how organizations analyze and act on data 📊 Explore the latest AI/BI Dashboard capabilities, including: - Customizable dashboard themes to match your brand and workflows - Upload files directly into your Dashboards for instant visualization and exploration - Forecast trends in time series data in just a few clicks - Deliver even more accurate, context-aware answers with AI/BI Genie See what's new and what's coming next: https://lnkd.in/g6gnx7gS

Happy #NationalInternDay! 🎉 At Databricks, internships aren’t just a program, they’re a key part of how we cultivate the next generation of builders, thinkers, and problem-solvers. From day one, our interns work on meaningful projects that accelerate progress for our teams and customers. They bring fresh ideas, bold perspectives, and the curiosity that fuels innovation in data + AI. The future of data + AI is being written now, and Databricks interns are helping author that story. 👉 Learn more about our internship opportunities: https://lnkd.in/gCcpcUWF

This is a story about how to govern structured, semi-structured, and unstructured data for the sake of improved customer personalization — but this one is for our pet people. 🐾 See how Mars Petcare leverages Azure Databricks to govern data on breed, diet, medical records, and more to drive insights that improve pet health outcomes: https://lnkd.in/gxWU7M3Q

Demo: how to surface and use Unity Catalog Metric Views in Databricks AI/BI — to enable self-serve access to trusted business metrics. See how to set up central governance with row-level security and column masking, and more.

Learn how Lakebase powers real-time applications at scale by unifying operational and analytical data. In this demo, Staff Developer Advocate Holly Smith shows how Lakebase leverages PostgreSQL for transactional workloads, Delta tables for faster UI responses, and performance monitoring to support thousands of transactions per second with low query latency. See how synced tables in Unity Catalog enable continuous data updates and simplified historical analysis: https://lnkd.in/gB8jQEcZ