Providing our employees access to frontier AI capabilities is a top priority at Databricks, and consequently, it is important ...

Unity catalog managed tables allow you to control the placement of your data when your organization needs separate storage.

Learn how manufacturers connect value-chain data, trace defects across systems and give teams governed, natural-language access to answers.

Five system table queries to track Databricks spend — by product, warehouse, and team, with anomaly detection and AI ...

See how anomaly detection catches gray failures — silent, partial outages that slip past green dashboards — in minutes, and ...

Across its production AI environment, Concurrence now processes approximately 100.8 billion input tokens and 11.2 million LLM calls every 30 days, equivalent to an annualized run rate of roughly 1.2 ...

This post walks through how we approach mobile security internally. Instead of focusing on just one product, our approach consists of four layers, each serving a specific purpose: device management, ...

Run models like SemIf-OpenJev directly on governed Databricks data using serverless GPUs and managed Model Serving. Query custom model endpoints from SQL or Lakeflow jobs with ai_query, returning ...

• The Genie One MCP server is now generally available, bringing trusted, data-smart insights across both structured and unstructured data from Genie into any AI agent workflow. • Grounded in Genie ...

Choosing a database instance size before you know the workload is an old building pattern. The process is generally wonky and feels very wasteful of compute, especially now that compute is becoming a ...

AgentOps is the operating discipline for building, evaluating, governing and improving AI agents in production. The Big Book of AgentOps provides practical guidance on architecture, evaluation, ...