Congratulations to the finalists for 2024’s Data Team Transformation Award! Banco de Crédito BCP County of Los Angeles Auditor Controller Mojang Studios U.S. DoD Chief Data and Artificial Intelligence Office, Advana Program Virgin Read on to hear more about our finalists, and stay tuned for our winners at #DataAISummit!
About us
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and 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. --- Attention: Databricks applicants Due to reports of phishing, we’re requesting that all Databricks applicants apply through our official Careers page at databricks.com/company/careers (good news — you are here). 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, and Artificial Intelligence
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 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’re excited to be recognized by Glassdoor as one of the Best-Led Companies in 2024! Being at the top of the list, based on employee reviews, showcases how our senior leadership teams go above and beyond to redefine the employee experience. See the list: https://dbricks.co/3QBynxy
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We’re thrilled to be named to CNBC’s #Disruptor50 list! 💥 This year’s list was all about #GenAI innovation, and we’re honored to be included as #5! We know GenAI is top-of-mind for our customers, and this recognition is a testament to our commitment to making AI accessible to all. https://lnkd.in/grfbU367
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How do you get your #LLM into the top 10 of Spider, a widely used benchmark for text-to-SQL tasks? Discover how we reached 79.9% (a 19 point boost over baseline) on the Spider dev dataset with Meta Llama3 8B through prompting and fine-tuning on Databricks. Apply our approach to improve LLM outputs! Great walkthrough from Matthew Hayes, Evion Kim, Linqing Liu, Alnur Ali, Ritendra Datta, and Sam Shah! https://dbricks.co/3WGSMF8
How to Crush the Spider Benchmark with Ease on Databricks
databricks.com
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#DataIntelligenceDay Manila welcomed 600 industry leaders and data and AI experts to discover how to develop #genAI applications without sacrificing data privacy! Attendees heard from companies like Aboitiz Data Innovation (ADI) and MAYA Data Privacy Limited about how they are gaining insights from data using natural language, and had the opportunity to join in on hands-on workshops. Watch the event on-demand here: https://dbricks.co/4byIWZZ Find a #DataIntelligenceDay near you: https://dbricks.co/3TAyOJd
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☕ #DeepBrew, coming right up! Join our breakout session with Vikas Vennavali, ML Engineer Lead, to learn about Starbucks’ Enterprise Managed Platform – which employs automation across key stages of the AI/ML lifecycle. The platform leverages Databricks for compute, orchestration and model management, and MLflow for tracking and model registry. Don't miss this session 👉 https://dbricks.co/4b7NNBe
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Meta #Llama3 on Databricks is a major milestone for organizations looking to tap into the flexibility of open source and customize their own LLMs. Create high-quality, production-scale #GenAI apps using the best model for your use case while securely leveraging your organization’s unique data: https://dbricks.co/3Qcwffh
Building Enterprise GenAI Apps with Meta Llama 3 on Databricks | Databricks Blog
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Organizations are turning to open source foundation models for control and ability to better influence outputs by more tightly managing both the models and the data they are trained on. As a response, we developed DBRX, a state-of-the-art open LLM that enables organizations to utilize their own data to create their own LLMs ⬇️ https://dbricks.co/4b8uRTy
Executive Overview: The Rise of Open Foundational Models
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Don't miss the #DataAISummit keynote from Yejin Choi, Professor + Sr. Research Director for Commonsense AI at Allen Institute for AI (AI2). Fun fact: we recently worked with AI2 to train their OLMo 7B, a SOTA LLM, on Databricks #MosaicAI. Don't miss great GenAI insights from Yejin. Register now! https://dbricks.co/3TBXKjw
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Explore the next frontier of AI with Fei-Fei Li! As a Professor at Stanford University and Co-Director of Stanford Institute for Human-Centered Artificial Intelligence (HAI), she'll be sharing tons of insights on the most top-of-mind areas of #AI and #GenAI. Don't miss her live at #DataAISummit — register now 👉 https://dbricks.co/3TBXKjw
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