In the State of AI Agents, usage data shows how AI agents are reshaping database operations across production and development workflows. Key findings:
– 97% of database branches for testing and development are now created by AI agents, reducing setup time from hours to seconds
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@databricks
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AI Agents Transform Database Operations with 97% Adoption
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Databricks Knowledge Assistant Now Generally Available
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Agent Bricks Knowledge Assistant is now Generally Available!
— Databricks (@databricks) 27 janvier 2026
You can now deploy a fully managed AI agent grounded in your own documents in minutes and get accurate, cited answers you can trust.
Powered by Databricks AI Research, Knowledge Assistant delivers higher-quality… pic.twitter.com/XySrBcyoRuAgent Bricks Knowledge Assistant is now Generally Available! You can now deploy a fully managed AI agent grounded in your own documents in minutes and get accurate, cited answers you can trust. Powered by Databricks AI Research, Knowledge Assistant delivers higher-quality
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2026 State of AI Agents: Enterprise Adoption Report
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Introducing the 2026 State of AI Agents: a new report that examines enterprise AI trends based on usage data from 20,000+ global organizations. Get answers to questions like: What are the most common AI use cases? What are companies getting AI into production doing
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7-Eleven Deploys AI Agent to Accelerate Store Equipment Maintenance
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@7eleven store maintenance technicians keep stores running smoothly by servicing a wide range of equipment — from food service appliances and refrigeration units to fuel dispensers and Slurpee machines. To support faster fix times, 7-Eleven built an AI agent that provides -
Databricks AI Guardrails Block Sensitive Data Locally
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[DEMO] Databricks AI Guardrails block sensitive data before it ever leaves your environment.@dennylee shows how PII like UK National Insurance numbers and credit card data is detected and stopped locally at the serving endpoint, instead of being sent to an external model.… pic.twitter.com/9FwCt020yG
— Databricks (@databricks) 26 janvier 2026[DEMO] Databricks AI Guardrails block sensitive data before it ever leaves your environment. @dennylee shows how PII like UK National Insurance numbers and credit card data is detected and stopped locally at the serving endpoint, instead of being sent to an external model.
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Lakehouse Data Modeling: Evolution Beyond Medallion Architecture
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Data modeling on the Lakehouse looks different than it did a few years ago. Which warehouse patterns still hold up? What’s evolved? And how does the medallion architecture fit alongside newer, more flexible modeling approaches? This post breaks down common myths and shares
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DataAISummit: Showcase Your Data Engineering and AI Impact
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Speaking at #DataAISummit is a great way to showcase your impact, build credibility, and advance your career. If you’re working on real problems in data engineering, analytics, or AI, this is a chance to share your work with peers and grow your voice in the community. We’re
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Databricks Security Features for Data and AI Architecture
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Walk through some of the best security features at Databricks and see how they work together to strengthen a real-world data and AI architecture, including:
— Databricks (@databricks) 24 janvier 2026
– Identity and access protection
– Layered network and perimeter controls
– Securing serverless and AI workloads
Nick… pic.twitter.com/OJoIyRuVORWalk through some of the best security features at Databricks and see how they work together to strengthen a real-world data and AI architecture, including:
– Identity and access protection
– Layered network and perimeter controls
– Securing serverless and AI workloads Nick -
Databricks Adds Apache Iceberg Support to Delta Sharing
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Open data sharing should not depend on table format or platform. That's why we’re announcing first-class support for Apache Iceberg™ in Databricks Delta Sharing, so data providers can securely share live data to any Iceberg-compatible client and reach customers wherever they
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Databricks Instructed Retriever Advances Enterprise RAG Capabilities
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Retrieval-based agents are at the heart of many critical enterprise use cases. But traditional RAG fails to translate fine-grained user intent and knowledge source specifications into precise search queries. The Databricks Research team introduces Instructed Retriever, a novel