Databricks CEO Ali Ghodsi joined Fortune Brainstorm AI 2025 to discuss the future of the AI market, and how Agent Bricks is transforming organizations across industries. “It’s a commodity now to have AI that has general knowledge, but it’s very elusive to get AI that really understands the proprietary data that’s inside the enterprise — that’s what we’re helping enterprises do with Agent Bricks.” https://lnkd.in/eywz7ziA
About us
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
- Website
- https://databricks.com
External link for Databricks
- Industry
- Software Development
- Company size
- 5,001-10,000 employees
- Headquarters
- San Francisco, CA
- Type
- Privately Held
- Specialties
- Apache Spark, Apache Spark Training, Cloud Computing, Big Data, Data Science, Delta Lake, Data Lakehouse, MLflow, Machine Learning, Data Engineering, Data Warehousing, Data Streaming, Open Source, Generative AI, Artificial Intelligence, Data Intelligence, Data Management, Data Goverance, Generative AI, and AI/ML Ops
Products
The Databricks Data Intelligence Platform
Data Science & Machine Learning Platforms
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data.
Locations
Employees at Databricks
Updates
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We’re proud to share that Databricks is a Leader in two 2025 Gartner Magic Quadrant™ reports for Cloud Database Management Systems and for Data Science and Machine Learning Platforms! We believe this recognition highlights the strength of our open platform and new capabilities like Lakebase and Agent Bricks that help enterprises use their data to build and deploy AI with speed and confidence. Download the reports to learn more: https://lnkd.in/g2qPV_mw
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That’s a wrap on #DataAIWorldTour Stockholm. 🇸🇪 A huge thank you to the customers, partners, and data + AI leaders who joined us today. Including Inter IKEA Group, Volvo Group, and the Nordic organizations showing what’s possible when they take control of their data and put it to work with AI. We’re leaving inspired by the conversations, the momentum, and the vision shared across the community. Here’s to building the future of AI apps and agents together.
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Distributed ML is now in Public Preview on both serverless and standard clusters, enabling teams to scale training and tuning workloads without managing dedicated infrastructure. One unified compute experience with built-in security, fine-grained access control and smooth collaboration across ML workflows: https://lnkd.in/g3uaaKgE
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Today we’re introducing OfficeQA, a new benchmark grounded in ~89,000 pages of U.S. Treasury Bulletins that reflects the complex, document-heavy tasks enterprises actually face. Unlike existing benchmarks, OfficeQA measures economically valuable, real-world reasoning: parsing dense tables, navigating scanned PDFs, and retrieving facts across decades of documents. Even strong agents reach only ~45% accuracy, showing how far the field has to go. The benchmark is now open to the community, and the Databricks Grounded Reasoning Cup in Spring 2026 will challenge teams to push these capabilities forward. https://lnkd.in/gdCUVsFh
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Learn how to build production-ready data and AI apps with Databricks Apps and Lakebase. Run a full-stack app on Databricks, keep data updated within seconds, and deploy the entire stack as code on one platform: https://lnkd.in/gzfMC4hf
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“There’s a lot of democratization of AI… almost every software engineering team, they are AI-driven or they are trying to be AI-driven, and they are expected to build features using AI.” In this executive roundtable, leaders from Danone, Capital One, Warner Bros. Discovery, Gilead Sciences and Databricks share how they’re driving measurable business impact with AI. Hear how they’re moving beyond pilots, deploying AI agents across their organizations, and governing unstructured and AI-generated data at scale: https://lnkd.in/gP8mbNVX
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The new IDE for Data Engineering introduces a unified way to build Lakeflow Spark Declarative Pipelines in the Databricks Workspace. Code, dependency graphs, data previews, debugging tools and Git all sit in one place, making pipeline development faster, clearer and easier to iterate on. Now in Public Preview: https://lnkd.in/g8cPmD2r
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Dashboards are where your data comes to life. In this video, Alex Freberg walks through analyzing a sales dataset in Databricks Free Edition, building bar, pie and line charts, and applying global filters—all using SQL, notebooks and dashboards. Follow along step-by-step and build your own transaction dashboard: https://lnkd.in/gkn82RB7
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[Demo] See how Databricks makes Scala development faster and simpler with Serverless JAR Tasks and the Beta of Serverless Scala Databricks Connect. This end-to-end demo walks through building, deploying, and running JAR jobs on Serverless compute using Databricks Asset Bundles, with 5 to 10 second startup times, structured streaming support, and no infrastructure to manage: https://lnkd.in/g7uqRFPD