Our Data Science Agent turns Databricks Assistant into an autonomous partner for data science and analytics. Fully integrated with Databricks Notebooks and the SQL Editor, our Data Science Agent accelerates analysis by exploring data, running and fixing code, training models, and summarizing insights — all from a single prompt. See how to get started: https://lnkd.in/gFBh7VSh
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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How do you turn hundreds of thousands of product reviews into your next best-selling jacket? Carhartt uses Databricks to power GenAI models that analyze customer feedback, surface insights on fit and quality, and guide product innovation. The team now delivers new customer features 6X faster — and has eliminated every pipeline failure along the way. AI is shaping the future of workwear. See how: https://lnkd.in/gjtGjjfW
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What's it like to lead at the intersection of AI and BI? Chao Cai leads engineering for Databricks’ AI/BI product line — building products like Genie, natural-language BI, and scalable backend systems that bring data and business users closer together. See how his team balances innovation with scale, what makes this moment in AI and BI so exciting, and why customer impact drives every decision: https://lnkd.in/g2BM4EX9
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Data exfiltration is one of the most serious security risks organizations face today. Analyzing every possible exfiltration path can feel overwhelming. That's why we created a comprehensive framework for categorizing data exfiltration protection controls and assessing risk. As part of this framework, we identified 19 prioritized security controls that give teams a clear path to enhancing their Databricks security strategy. Take a look: https://lnkd.in/gGD6eDN3
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“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
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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