Databricks

We’re getting “closer” to #DataAISummit 2026… are you ready? Register today, and stay tuned to see who’s headlining Data After Hours this year. https://lnkd.in/gd_2Kw76

80% of enterprise knowledge remains functionally invisible, trapped in PDFs, scanned images, and office documents. That has made intelligent document processing one of the most fragmented problems in data engineering for years. Databricks Document Intelligence and Lakeflow now give teams a governed, end-to-end way to ingest, parse, and extract structured insights from unstructured documents, all inside Databricks, without the fragile OCR vendors and custom connectors. See how it works step-by-step: https://lnkd.in/g3RsveZv

✈️ Skyscanner handles 35M daily searches and processes up to 35B events to keep its travel experience fast and reliable. To support that scale, the team unified fragmented data into a governed system and transforms 55B daily events into reusable data products. This foundation powers 180M flight ranking predictions each day and gives teams consistent data to work from. With more than half of travelers already planning trips using generative AI, Skyscanner is now exploring agents to better guide travelers. https://lnkd.in/gZWgyJEi

Databricks is heading to AI Council in San Francisco, May 12-14, with three sessions covering some of the most pressing questions in data and AI infrastructure right now. - Nikita Shamgunov keynoting on what data infrastructure actually needs to look like in the AI era - Stas Kelvich on why AI agents need a new kind of OLTP and how Lakebase is built for it - Robert Martin-Short leading a workshop on systematic LLM prompt optimization with DSPy Find us in the Expo Hall if you're there!

Today, Databricks and Adobe are taking a significant step forward in our strategic partnership, releasing three new capabilities that make Databricks data directly actionable in Adobe Experience Platform (AEP) without moving or duplicating data between systems. • Delta Sharing for AEP enables zero-copy access to governed Databricks data without pipelines or delay, so marketers can build more personalized audiences and campaigns using their first-party data • Databricks Genie connection with Adobe Marketing Agent (via MCP) allows Adobe users to query their Databricks data in natural language without leaving AEP • An upcoming Adobe Marketing Agent beta release for the Databricks Marketplace enables Databricks agents to incorporate AEP audience insights for use cases like closed-loop attribution and campaign performance If you're at Adobe Summit, visit the Adobe AI Zone or Databricks at Booth #548 to see the new integrations in action. https://lnkd.in/gDcEyRXX

Databricks Unity AI Gateway now lets teams connect agents to external MCP servers like GitHub, Glean, and Atlassian through managed OAuth, with all governance running through Unity Catalog. Auth has been the consistent bottleneck for enterprise agent deployments, and Unity AI Gateway removes it entirely: • Register and control external MCP servers through Unity Catalog with fine-grained permissions and a full audit trail • Agents act on behalf of individual users, not overprivileged service accounts, so access stays scoped and traceable • Databricks handles the full OAuth lifecycle server-side, across AWS, Azure, and GCP Here’s how it works: https://lnkd.in/gQV9GrDF

The challenge isn’t building agents. It’s running them across your data, models, and systems—with control. Swipe to hear from teams driving impact with Agent Bricks. https://lnkd.in/gZC-pjgn

Lakeflow Connect now includes a Free Tier, featuring: - 30+ Built-in Connectors: Seamlessly ingest data from SaaS apps and databases - 100 Free DBUs Daily: Every workspace can ingest up to ~100M records/day at no cost - Unified Governance: Full lineage and security via Unity Catalog Give your AI agents the full enterprise context they deserve without the cost. Get started today: https://lnkd.in/gEraF27y

YipitData scaled beyond manual tagging by embedding AI agents directly into its pipelines. Instead of maintaining hundreds of regex rules, agents now interpret messy transaction data with context that mirrors human judgment. This expanded coverage from ~3,000 to 60,000+ companies in a single quarter and reduced processing time from 24 hours to about 1 hour per million records. All of this runs within its existing data platform, so data stays governed while pipelines scale. Learn how YipitData is enabling faster insights and new AI-driven products. https://lnkd.in/gpewTV3Y

Developers shouldn’t have to spin up infrastructure just to start building. In this webinar, engineers from Databricks and Cursor walk through how to build and deploy a production-ready app without managing infrastructure. You’ll see how to work with serverless Postgres, push updates in real time, and handle governance and access without custom pipelines. Join us on May 5. https://lnkd.in/g2sVb8RW