Databricks

Databricks and Anthropic are partnering to offer Claude models and services natively through the Data Intelligence Platform, empowering enterprises to build high-quality AI agents. Databricks co-founder and CEO Ali Ghodsi recently sat down with The Wall Street Journal to discuss the new partnership. Read the full story: https://dbricks.co/3RtumuS

“Data and digitalization are becoming a key component of everything we do.” Jelle Van Etten, Head of Global Data Platform at The HEINEKEN Company, shares how the global brewer unifies data governance and scales AI use cases across markets with the Databricks Data Intelligence Platform. https://lnkd.in/gP4fAGWR

Join Databricks at HANNOVER MESSE to learn why the future of manufacturing runs on data intelligence! You'll have an opportunity to chat with data + AI experts about your unique data challenges and explore how the Databricks Data Intelligence Platform can help you build AI into every process. We have a lot planned at our partners’ booths! Get the details here: https://dbricks.co/4l9wFB2 #HM25 #DataIntelligence

#DataAISummit is a great opportunity to hear from industry leaders about their data + AI strategies and transformational projects. Our Data Strategy session track deep dives into real-world AI applications and initiatives. Swipe to see some of the topics we’ll be covering — and get the full list of sessions and tracks here 👉 https://dbricks.co/4iKP6dI

Data sharing is a strategic pillar for data and AI innovations. With Delta Sharing, Databricks Marketplace and Clean Rooms, businesses can collaborate in real time while maintaining data privacy and governance. We recently unveiled new capabilities and enhancements to support organizations with their data sharing + democratization initiatives: - GA of Databricks Clean Rooms on Azure & AWS - New Delta Sharing improvements for secure data exchange - Integration of Partner Connect with Databricks Marketplace - SAP Databricks, powered by Delta Sharing - And more! Read the full roundup: https://dbricks.co/42kKPI3

As the creator of Minecraft, Mojang manages 130 million monthly players, generating vast data from player interactions and in-game activities. Analyzing this data across 22 platforms is crucial to maintaining an engaging experience. By leveraging Databricks Mosaic AI, Mojang: • Delivers 2.5x more effective content recommendations in Minecraft Marketplace • Analyzes player behavior in real-time to enhance game design and minimize friction • Reduces data preparation time by 66%, enabling faster insights and innovation Discover how Mojang transforms complex player data into actionable insights using Databricks Data Intelligence Platform. https://dbricks.co/4lnYdD1

Databricks CEO Ali Ghodsi and Anthropic CEO Dario Amodei joined Bloomberg Television to discuss our latest partnership, which brings Claude access to the Data Intelligence Platform. “Both companies value things like safety, security, privacy — things that enterprise customers greatly value.” Catch the full conversation 📺 https://dbricks.co/4iCa5PP

Join Ali Ghodsi, Co-founder and CEO of Databricks, and Dario Amodei, Co-founder and CEO of Anthropic, as they discuss the future of AI agents, best practices for building enterprise AI and why the best agents will use both general intelligence and data intelligence. Register here: https://dbricks.co/4iwJnZ2

Announcing native availability of Anthropic Claude 3.7 Sonnet in Databricks across AWS, Azure and GCP! Customers can now securely access Claude’s advanced reasoning, planning and agentic capabilities directly within Databricks, no setup required. Claude + the Databricks Data Intelligence Platform enables enterprises to build domain-specific AI agents on their unique data – with full governance and observability across the entire data and AI lifecycle. This launch marks the beginning of a strategic partnership between Anthropic and Databricks. We’re excited to see what our customers build and how they leverage domain-specific AI agents! https://dbricks.co/4hI3kdX

Our Chief AI Scientist, Jonathan Frankle, spoke to tons of our customers to understand the biggest challenges with enterprise AI. What he discovered: the problem is dirty data. He spoke to Will Knight about TAO (Test-time Adaptive Optimization), a new method – developed at Databricks – that combines reinforcement learning and synthetic data, making it possible to tune LLMs without labeled data. Read the full article via WIRED: https://dbricks.co/43pJzVd