“We can be much more reactive, much more agile, and you can unlock things in minutes, not in hours or years.” Danone's Data and AI Product Director Axel Droin shares how the company has unified data and AI governance to accelerate innovation in support of its health-focused mission: https://lnkd.in/dkspBcKx
About us
Databricks is the Data and AI company. More than 15,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. --- 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
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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
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Ryan Donahue
VP, Head of Design @ Databricks | Design, Data, AI
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Rob Taylor
Strategic Planning ~ Business Operations ~ Global Business Development
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Alfred Chu
VC
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Ashu Garg
Enterprise VC-engineer-company builder. Early investor in @databricks, @tubi and 6 other unicorns - @cohesity, @eightfold, @turing, @anyscale…
Updates
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“We asked organizations, ‘What was the value of Agent Bricks?’ They said it delivered ‘much higher accuracy and quality.’” Arsalan Tavakoli, Databricks Co-founder & SVP of Field Engineering, joined Bloomberg to discuss how the next era of AI and AI agents is driving real business outcomes and value.
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It's a packed house here in London for #DataAIWorldTour 🇬🇧 AI apps and agents are top of the agenda as we head into an afternoon of breakout sessions. Highlights so far include: - Michael Green kicking off the keynote session in front of 3,000+ attendees - Meggy Chung from Barclays & Dennis Michon from easyJet sharing their success stories on stage - Countless conversations on how Databricks is powering the data + AI needed to build high-quality AI agents
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Barclays is reimagining what’s possible with data and AI. Meggy Chung, Head of Global Enterprise Data Platforms told us at #DataAIWorldTour London: “We migrated one of our legacy banking data warehouses into Databricks in just 4.5 months, a record for us. The beauty of it was that the business is now able to do things it never could before.” It’s amazing to see what happens when data meets innovation at scale.
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Today, London is at the center of the data + AI conversation. We’re bringing data leaders, innovators, and visionaries together to explore how Databricks is shaping the future of AI apps and agents. #DataAIWorldTour
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"We are always focusing on getting customers what they want, where they want, when they want." 🥤 7-Eleven is transforming how it connects with customers by using data and AI to deliver personalized offers, faster insights, and seamless analytics across marketing campaigns
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Enforce consistent, secure tagging across data and AI assets with Governed Tags in Unity Catalog! Teams are already using Governed Tags to: 🏷️ Enforce consistent tagging across workspaces 🏷️ Simplify discovery by unifying data + AI assets under common labels 🏷️ Strengthen compliance with account-level policies and ABAC 🏷️ Track usage and optimize costs by business unit Now in public preview: https://lnkd.in/g9mbjbzj
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New research from the Databricks AI research team shows automated prompt optimization can deliver quality improvements on par with supervised fine-tuning—and with lower serving cost. This research highlights our work to help customers build smarter, self-improving enterprise AI agents that deliver real-world performance without prohibitive retraining costs. Stay tuned as we continue to push the boundaries of agent optimization with Agent Bricks, our platform for building, evaluating, and deploying production-grade AI agents for enterprise workflows: https://lnkd.in/gVh2DZ6E
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Joby Aviation is reimagining air travel with electric aircraft built from the ground up. Using Zerobus Ingest, Joby streams gigabytes of telemetry per minute from thousands of factory devices directly to their lakehouse. Data that once took minutes or more now reaches decision-makers in under five seconds, powering near real-time insights from factory to flight: https://lnkd.in/gMRWPhW3
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Most BI teams know they need to modernize, but few realize the cost of waiting. When we assessed our own BI environment at Databricks, we faced the same challenges many enterprises do: slow dashboards, high licensing costs, inconsistent metrics, and limited AI assistants. So we put our own platform to the test. In just five months, we migrated 1,300+ dashboards to Databricks AI/BI — improving performance 5x, saving $880K annually, and boosting user satisfaction by 80%. Here is the 5-pillar migration playbook that made it possible: https://lnkd.in/gFK6rHXT
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