What are enterprises actually doing with AI? Introducing Unlocking Enterprise AI, a new report by Economist Impact that covers trends in AI adoption, use cases, production success and more – based on findings from 1,100 technical executives and data professionals. You’ll also get practical insights from 28 CIOs at some of the world’s most innovative companies, including Shell, Accenture, Rakuten and Mastercard, as you prepare your own GenAI strategy. Get the findings: https://dbricks.co/48TcVf9
概要
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).
- ウェブサイト
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https://databricks.com
Databricksの外部リンク
- 業種
- ソフトウェア開発
- 会社規模
- 社員 5,001 - 10,000名
- 本社
- San Francisco、CA
- 種類
- 非上場企業
- 専門分野
- 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、AI/ML Ops
製品
The Databricks Data Intelligence Platform
データサイエンスおよび機械学習プラットフォーム
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.
場所
Databricksの社員
アップデート
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On the Unsupervised Learning Podcast, Databricks Chief AI Scientist Jonathan Frankle shares best practices for businesses exploring #GenAI, and building unique models that benefit specific use cases: “A generic model is not going to know about your data — you have to bring it to bear somehow.” Listen to the full conversation with Redpoint Ventures’ Jacob Effron: https://dbricks.co/3UPSnP0
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Usman Quddoos, Chief Data Officer at DIRECTTV, shares practical strategies for business leaders who want to tap into the advantages of GenAI, including: - Start small and with high-value use cases - Focus on data quality and governance - Ensure data privacy and AI ethics Learn how DIRECTV is strategizing with GenAI and how the Databricks Data Intelligence Platform is helping them achieve their business goals. https://dbricks.co/3Ck3MA2
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Databricksさんが再投稿しました
As #GenAI projects move from POC to production, Databricks customers are shifting from deploying single models to leveraging AI agent systems. Naveen Rao, Matei Zaharia and Patrick Wendell describe how modular system design has led to a new development paradigm for intelligence applications: https://lnkd.in/gxamqEQB
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We analyzed customer feedback and billions of production queries to identify the top items on our users’ wish lists for #DatabricksSQL. In just 6 months, BI workloads are already on average 14% faster⚡ See how our latest enhancements make workloads even faster and more efficient. https://dbricks.co/3UKH0aQ
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#DatabricksMarketplace offers a variety of products to support our customers’ AI and analytics initiatives. We’re thrilled to offer 2500+ listings across 250 providers – with many more to come! We want to ensure that our users are equipped to evaluate the right provider for their use cases and that our providers can maximize the reach of their offerings. Here are Marketplace tips + best practices and answers to frequently asked questions. https://dbricks.co/4hIGtAc
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Explore the path to interoperability with Michael Armbrust, the original creator of #DeltaLake, and Ryan Blue, co-creator of #ApacheIceberg. Many organizations face challenges in choosing the correct table format, which can hinder lakehouse adoption and impact their data + AI strategy. There’s a better way forward! Join us to delve into the evolution of open table formats and discover how Databricks is tackling interoperability, data governance, and more. https://dbricks.co/47IvBha
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Migrating data warehouse workloads is a challenging but essential task for any organization. At Databricks, our Professional Services team works directly with customers across industries on migration projects - and they’ve gathered insights along the way. Here are 5 best practices any data professional should consider, drawn from our customers’ own migration stories. https://dbricks.co/3YE1TFT
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“The key challenges we hear about from customers are governance, compliance, security, fine tuning, and doing those things on your data. #DataIntelligence is a game changer.” At Battery Ventures’ #OpenCloudSummit, Databricks CRO Ron Gabrisko discussed the current state of enterprise #GenAI — including the biggest use cases, solving adoption bottlenecks, and more. A big thank you to Battery Ventures and Nasdaq for helping us kick off the event with a guest appearance in Times Square!
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We examined usage data from 10,000+ global Databricks customers to understand how enterprises are approaching GenAI and how trends—like the rapid adoption of vector databases—reflect their broader strategies. Databricks experts Kobie Crawford and Kunal Marwah break down these insights and other findings from the State of Data + AI report with Ravit Jain. Watch the full conversation: https://dbricks.co/3UGizeZ