Databricks
@databricks
Databricks is the data and AI company, helping data + AI teams solve the world’s toughest problems.
Equipping LLM agents with tools shouldn’t mean losing governance or security. Model Context Protocol (MCP) has taken off in recent months, and we’re excited to introduce managed MCP servers with Mosaic AI and Unity Catalog integration. Now your your AI models can securely…
Join Databricks’ Laurent Léturgez and @arikaplan1, and Amadeus’ Chris Ernst as they discuss how organizations are migrating from legacy data warehouses to modern infrastructure to unlock intelligent experiences, predictive insights, and better price performance. Watch the full…
NVIDIA’s LLM vulnerability scanner, Garak, is an open-source tool equipped with generators, probes, and detectors that assess the robustness of an LLM and identify weaknesses across specific attack vectors 🔎 Learn how to scan your Databricks-hosted LLM using the REST API,…
Learn and explore on the latest data and AI technologies for free with Databricks Free Edition. 🧠 Users can experiment with the full range of use cases — from building AI agents to collaborating on DS/ML projects to analyzing data with SQL — on the same platform used by…
Unlock the power of your SAP S/4HANA financial data with Databricks SQL 🔓 This demo shows how finance teams can access and analyze SAP data, enforce robust governance, and use AI-driven forecasting—all without heavy technical lift. Learn how to turn fragmented SAP data into a…
See how Mosaic AI Agent Bricks makes it easy to extract structured information from contracts, invoices, or forms — no manual labeling or schema training needed. This 5-min demo shows how the Information Extraction agent continuously improves using schema feedback and…
When it comes to enterprise AI, there’s a gap between research and real-world deployment. Databricks Staff Research Scientist Dipendra Kumar and Staff Software Engineer Alnur Ali discuss the challenges of real-world AI (messy data, security, stability), new tools being…
See Apache Spark + @spice_ai in Action: Faster Queries + Real-Time AI Decisioning 🤝 Apache Spark™ delivers at scale for data processing and analytics. With Spark Connect and Spice AI OSS, teams can also enable low-latency, high-concurrency access to Spark data for operational…
What does data intelligence mean for self-service analytics? Richard Tomlinson, Director of Product Marketing at Databricks, joins Andrew Miller from @TDWI to discuss the challenges and opportunities of making self-service analytics work and the role of data intelligence in…
Get under the hood of Lakeflow: unified data engineering across ingestion, transformation, and orchestration. Michael Armbrust, Distinguished Engineer at Databricks, walks through the main components of Lakeflow and how they work - Lakeflow Connect: efficient data ingestion…
“The fine-tuning of our GenAI models was just miles easier with Databricks than with any other provider.” – James Lin, Head of AI/ML Innovation, Experian 🧱 With Agent Bricks, @Experian and @flotracker deployed specialized AI agents to improve user outcomes while meeting strict…
Unity Catalog just took a big step forward with full Apache Iceberg™ support, Unity Catalog Metrics, curated discovery, attribute-based access control (ABAC), and data quality monitoring. These updates bring the best catalog for Iceberg, new business-friendly discovery…
Table-Valued Functions (TVFs) now integrate directly with the DataFrame API in Apache Spark™ 4.0 and Databricks! Key benefits: - Native DataFrame Integration - Chainable and Composable - Lateral Join Support Learn more 👇 databricks.com/blog/introduci…
At #DataAISummit, Databricks Co-founder Arsalan Tavakoli-Shiraji shared how we’re making it easier than ever to modernize your data warehouse. With the launch of Lakebridge, teams can now automate migrations from legacy warehouses using free, AI-powered tools. Catch this and…
Our new Databricks AI Governance Framework is your comprehensive guide to implementing enterprise AI programs responsibly and effectively. The framework provides a structured approach to AI development, spanning 5 foundational pillars for building a responsible and resilient AI…
At #DataAISummit, @LaminiAI CEO @realSharonZhou explored how SLMs and mini-agents can power reliable agentic workflows. Learn about memory RAG, MoME-based memory tuning, and real-world use cases like text-to-SQL and code analysis: databricks.com/dataaisummit/s…
Happening TODAY! 🚨 Join Agents in Production 2025 for a can’t-miss session on building evaluation-driven Agentic systems with MLflow 3.0. 🎙️ “Driving Evaluation-Driven Development with MLflow 3.0” with Yuki Watanabe, Senior Software Engineer at @databricks Learn how to: ✅…
New in Unity Catalog: Enhanced Python UDFs! 🐍 What's new: – Support for custom Python dependencies – Batch Python UDFs for better performance – Secure access to external services with UC Service Credentials Now in Public Preview: databricks.com/blog/announcin…
“We have to be very tailored to our users because every brand has a brand voice.” – Sailesh Bharathwaaj Krishnamurthy, Head of AI Center of Excellence, 7-Eleven See how @7eleven uses LangGraph and Mosaic AI to build a multi-agent assistant that helps marketing teams generate…
