To successfully pivot in the age of #AI, KPMG needed to move away from its legacy Hadoop infrastructure. By implementing solutions such as Unity Catalog and Delta Sharing, they were able to break down data silos and increase productivity and time to market. Now, KPMG boasts a strong base of over 850 active power users who have successfully utilized Databricks👇 https://bit.ly/3S2MMmZ
About us
Databricks is the Data and AI company. More than 10,000 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
![Click here to view The Databricks Data Intelligence Platform]()
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 Product Design at Databricks
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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…
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Michael J. Franklin
Professor of Computer Science, University of Chicago
Updates
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We are thrilled that Databricks has earned a spot on the Most Loved Workplaces® for LGBTQ+ 2024 list! This recognition reflects our commitment to creating an inclusive culture where all Bricksters are empowered to bring their authentic selves to work. Learn more about our communities at Databricks: https://bit.ly/3RRg5ZE
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Meet the minds behind DBRX! Our Chief AI Scientist Jonathan Frankle joined the #NextGenLakehouse crew to discuss how we built DBRX for $10M (and why we built our own LLM), ways to evaluate models after training, and more. Watch the full conversation with Databricks Lead Solutions Architect Quentin Ambard and Senior Specialist Solution Architect Maria Zervou. https://bit.ly/3RUCt4x
The secret sauce behind DBRX with Databricks Chief AI Scientist Jonathan Frankle
https://www.youtube.com/
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#GenAI is all about the long game, and executives must shift the company’s AI mindset from short-term wins to long-term business transformation. Our CIO Naveen Zutshi shares why improving data infrastructure, leveraging RAG, and prioritizing accuracy in the development and use of AI can help CIOs navigate this era of GenAI momentum: https://bit.ly/4cTM6Ix
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Hear from Databricks customers about their experiences using the Data Intelligence Platform. From data warehousing to #GenAI, our customers are achieving big goals with an open and unified foundation for all their data and governance. Don't just take our word for it - read the reviews on G2! https://bit.ly/3S2f80H
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Databricks VP of Engineering, Hagay Lupesko, gives Tony Hoang an inside look at our latest #GenAI advancements announced at #DataAISummit. The discussion covers the shift to serverless AI services, the importance of proprietary data for enterprise GenAI, and the future of AI. Listen now: https://dbricks.co/4cr5oFg
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With over 33 million customers, AME Digital prioritizes robust and sophisticated fraud detection. The team used the Databricks Data Intelligence Platform to centralize 700+ datasets and unlock the potential of ML. Swipe through to see how they improved their fraud prevention model’s accuracy by 90%, while reducing data management costs by 38% 👉 https://bit.ly/4bkkuLF
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Data engineering on the Databricks Data Intelligence Platform enables practitioners to build intelligent batch and streaming data pipelines on a unified, governed platform. We’re thrilled to have our innovative approach to data engineering and data streaming recognized in two new reports: 2024 IDC MarketScape: Worldwide Analytic Stream Processing and The Forrester Wave™: Cloud Data Pipelines, Q4 2023. Thank you to Forrester and IDC for the recognition. Download both reports here: https://bit.ly/4cx0GWM
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Thrilled to welcome Prodvana to Databricks! Prodvana has developed innovative methods to simplify the complexities of deployment in cloud-native environments. We’ll leverage their expertise to help deliver a variety of infrastructure improvements that benefit our customers. Stay tuned for more updates - and join us in welcoming Andrew Fong and Naphat Sanguansin! https://dbricks.co/4eQi9ed
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We analyzed the most popular data and AI products among our 10,000+ customers. We discovered that 9 out of 10 products are open source, and companies are clearly focused on the next phase of GenAI. Hugging Face transformers jumped 2 spots from last year, while LangChain became a top product only months after integration. Get more findings on the modern data + AI stack here: https://bit.ly/4buAgDH