Databricks

Introducing Databricks Document Intelligence: a research-specialized layer that turns raw enterprise documents into structured data your agents can actually reason over. Across our benchmarks, Document Intelligence delivered the highest end-to-end parsing and extraction quality at 6-8x lower cost, with a 16% average performance gain across every agent framework tested, just from better parsing. How to get started: https://lnkd.in/gdW8yTrU

#DataAISummit 2026 is less than two months away! Join us June 15-18 for practical insights and real-world case studies on transforming your organization with data and AI. Across 800+ sessions, you’ll hear from teams on how to: • Build AI agents that are accurate and grounded in your data • Develop intelligent apps with a fully managed Postgres database • Unify data, analytics, and AI with built-in governance …and more Explore session previews across nine tracks. Register by April 30 to get 50% off registration, including hands-on training courses and certification. https://lnkd.in/gJdUBa68

AI Gateway in Databricks now extends Unity Catalog governance to agentic AI. As agents call LLMs, pull data through MCP servers, and invoke external APIs, every step touches sensitive data and audit requirements. With the latest updates to AI Gateway, you can now bring all of that into one governance model: • Set access policies once across every LLM and tool • Trace the full agent call chain end-to-end • Centralize logging for FinOps, engineering, and security https://lnkd.in/g4KZ_qPE

Databricks will be at Google Cloud Next '26 in Las Vegas. Come see how Databricks x Google Cloud work together to unify data, analytics and AI on an open, secure and scalable foundation. Don't miss our featured session, "Reinventing Grocery Retail" with Albertsons Companies, Friday April 24 at 9:30a in Expo Theater 1. Find us at booth #7009 for more sessions, demos, and customer stories. https://lnkd.in/gWKtMr2Z

It used to take years to weaponize a vulnerability. Now it takes 1.3 days. At #RSAC2026, Databricks CEO Ali Ghodsi explained how automated AI swarms — not human hackers — are driving that shift. Watch the full keynote: https://lnkd.in/gaT4EZbD

The teams building production-ready agents aren’t just experimenting—they’re building, orchestrating, and governing them as part of real business systems. This week, we're announcing new Databricks AI capabilities to help teams do exactly that. Here’s a look at what’s new 👇 https://lnkd.in/gZC-pjgn

Making Data and AI Lovable. Lovable now integrates with Databricks, providing a natural language interface that allows anyone—regardless of technical skills—to build live data apps can read and write data stored in Databricks. Bridge the gap between complex data engineering and beautiful, functional front-ends. https://lnkd.in/gThjm-F7

Martech stacks were built for a different era. As AI agents and humans start to work together, rigid systems are getting harder to adapt. This Thursday, Scott Brinker of chiefmartec joins marketing leaders Meagen Eisenberg from Samsara and Kumar Ram from HP to discuss the shift to a more composable approach and what it takes to evolve your stack over the next 3 to 5 years without starting from scratch. Register to hear how teams are rethinking their architecture for the AI age. https://lnkd.in/giTWd9cQ

We’re excited to announce that Satya Nadella, Chairman and CEO of Microsoft, will be joining the #DataAISummit keynote virtually for a special pre-recorded conversation with Databricks CEO Ali Ghodsi on the future of AI, turning innovation into real-world results, and what's next for the Microsoft x Databricks partnership. Register: https://lnkd.in/gd_2Kw76

FMC Corporation develops crop protection solutions and helps growers manage pests in the field, which depends on delivering the right data at the right time. Fragmented systems made it hard to scale machine learning and turn models into real-time insights. FMC unified its data and streamlined how models are developed and deployed, making it easier to deliver timely agronomic insights to growers. Its Arc™ app uses sensor data from pest traps, along with weather and geospatial signals, to anticipate infestations so growers can act earlier and protect yields. Explore how FMC is improving how data and AI support decisions in agriculture. https://lnkd.in/gXHmHDY5