Databricks introduces intent-based authorization in Omnigent to block prompt injection attacks by binding each session to a declared purpose, denying any action outside that purpose even if the agent'…
Databricks built the Field Engineering Vending Machine (FEVM), a self-serve infrastructure provisioning system that gives each engineer an isolated environment in minutes, governed centrally and clean…
Databricks' Genie Code outperformed three general-purpose coding agents on 401 real data tasks, achieving 72.1% accuracy at $0.34 median cost per task, compared to Agent X's 72.1% accuracy at $1.09, A…
Databricks announced AI Spend Controls in Unity AI Gateway, enabling organizations to set proactive budget alerts and hard spend caps at the user, workspace, or organization level to prevent runaway A…
CLA (CliftonLarsonAllen LLP) and Databricks built a Databricks-native agentic auditing solution using Lakebase Postgres that reduces document extraction time from hours to minutes. The orchestration l…
A new report from Scott Brinker, published in partnership with Databricks, argues that the traditional martech stack's rigid, siloed architecture prevents marketing teams from activating first-party d…
Cellcentric, a joint venture of Daimler Truck and Volvo Group, built its Data Hub on Azure and Databricks to govern R&D data for AI agents, using Unity Catalog, Lakehouse Federation, and Delta Sharing…
Databricks announced the Public Preview of Domains and the Discover page, powered by Unity Catalog, to help users and AI agents find trusted, relevant data and AI assets organized by business structur…
Databricks has developed a hybrid approach combining AI Classify with vector search that outperforms frontier models on accuracy and cost for document classification tasks involving taxonomies of 100,…
Forrester estimates 60% to 73% of enterprise data goes unused for analytics, and Databricks argues that AI deployed as a system, not a collection of pilots, is the first technology to attack the trust…
AI transparency requires organizations to document training data, model behavior, and decision-making processes to build trustworthy, EU AI Act-compliant systems. A transparent AI program must documen…
Responsible AI is the practice of designing, developing, and deploying artificial intelligence systems that are ethical, fair, transparent, and accountable throughout their lifecycle, combining techni…
AI-native gross margins reached about 52% in 2026, up from 41% in 2024 (ICONIQ), but still short of the 70-90% that classic software earns, as agents reshape compute consumption, pricing, and revenue …
Meta's Muse Spark 1.1 is now available on Databricks through the new Model Provider Services in Unity AI Gateway, enabling organizations to govern access, usage, and costs of the model via Unity Catal…
Databricks announced strategic funding at a $188 billion valuation, led by existing investor Coatue, to accelerate its AI strategy. The company will use the capital to strengthen Unity AI Gateway, exp…
Dotmatics and Databricks have partnered to integrate Luma, a scientific intelligence platform, with Databricks' data and AI infrastructure, creating a unified stack that transforms fragmented scientif…
Cushman & Wakefield CIO Sal Companieh has spent four years building a centralized enterprise AI core for 53,000 colleagues, moving from fragmented efforts to a unified data strategy with Databricks. T…
Databricks introduced the industry's first Databricks Certified Context Engineer Associate beta exam at Data + AI Summit last month, validating skills for engineering production-grade AI agent systems…
Databricks launched Genie One, an AI assistant for data-driven work that uses a shared context layer spanning Databricks data, documents, SaaS applications, and operational systems, to help business u…
Apache Spark 4.2 is now available in Databricks Runtime 19 Beta, introducing governed metrics, vector and top-K primitives, an Arrow-first Python path, first-class change data capture, and stronger st…