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Databricks introduces Vital Skills to equip its Genie Code AI coding agent with healthcare and life sciences domain expertise, improving reliability on specialized tasks while maintaining governance and integration with...
Databricks introduces Lakeflow Connect to unify scattered productivity and AI data into a single governed foundation, enabling AI agents with enterprise context via native connectors.
Databricks launched a perpetually free platform edition for educators and students to teach data and AI skills using real industry tools without cost or setup barriers.
Databricks AI Search now directly integrates Streaming Tables, Materialized Views, and Iceberg v3+ tables, eliminating separate pipelines for live data synchronization in AI applications.
Databricks benchmarked 528 agent-built pipelines, finding declarative authoring cheaper and faster than procedural code by catching errors early and reducing compute waste.
Enterprises are shifting from maximizing AI token usage to measuring return on investment as cost management becomes critical for scaling AI without overspending.
Databricks introduces a unified real-time data platform to combat telecom fraud, addressing the 25% annual rise in U.S. fraud losses and the $4.88 million global average breach cost.
Databricks’ Patrick Wendell details how unchecked AI coding costs spiraled before the company introduced Unity Gateway, a control layer that cut unit costs by up to 90% while sustaining output gains.
Databricks and NVIDIA launched AI Runtime to simplify customizing open AI models with enterprise data using serverless NVIDIA GPUs on the Databricks platform.
Databricks announces the general availability of AI Runtime, integrating managed GPU infrastructure into its Lakehouse platform to streamline AI model training while maintaining governance and security.
Databricks integrates RFD4-Proteina, an NVIDIA BioNeMo model for protein design, into Genesis Workbench on AI Runtime, enabling researchers to connect protein-design workflows with research data using serverless NVIDIA...
Databricks introduces MemCurrent, a persistent memory architecture for production AI agents, improving accuracy and efficiency by retaining only relevant context while reducing costs and latency.
Databricks launches Agent Memory on Agent Bricks to store agent facts and preferences, reducing costs and latency while improving reliability in beta.
Hamlet uses Databricks Lakebase Postgres to test code changes against live government data without risking production, improving engineering efficiency and accuracy.
HP reduced CDP setup time from months to hours and cut costs by 40% by consolidating marketing data into Databricks CustomerLake and Genie, enabling faster audience activation and governed data sharing.
Databricks advances CustomerLake to Beta and Private Preview, enabling faster audience builds, lower CDP costs, and agent-driven marketing workflows for enterprises like HP and AB InBev.
Databricks expands its New York R&D hub at 5 Bryant Park to 120,000 square feet, doubling capacity to support growing AI research and enterprise product development teams.
Databricks’ AI Research team relies on AI Runtime to accelerate model development, scale training workloads, and support agent-led research, reducing infrastructure overhead and enabling faster experimentation.
Databricks launches Predictive AI Functions in Beta, enabling SQL analysts and business users to run forecasting, anomaly detection, and driver analysis directly in SQL, Genie, or dashboards without advanced ML...
Databricks reduced Qwen 3.8 27B fine-tuning time from 7 hours 44 minutes to 1 hour 17 minutes using AI Runtime optimizations, a sixfold speedup.
Databricks has expanded Lakeflow Designer with new no-code operators, enhanced existing features, and improved workflow management tools to reduce technical barriers in data preparation.
Companies adopt AI agents rapidly but struggle to prove ROI due to misaligned KPIs and lack of business context, according to Databricks’ Amber Roberts.
Flo Health improved AI medical safety and usefulness scores by over 25 percentage points each using a privacy-first, judge-driven pipeline on Databricks, reducing inference costs and gaining control over model behavior.
Databricks launches a public Beta of a Unity Catalog connector enabling zero-copy access to Workday HR and finance data directly within its platform, governed by Unity Catalog.
Databricks introduces Lakebase Postgres database branching to isolate concurrent coding agents, enabling safe schema changes and tests without shared environment conflicts.
Medical imaging AI faces a data bottleneck rather than model limitations, as data remains siloed in PACS and vendor archives, complicating sharing and analysis.
Databricks introduces budgeting, alerts, and monitoring tools for SQL warehouse costs to prevent unexpected expenses and improve governance during cloud migrations.
Databricks Apps now supports on-behalf-of-user authorization, enabling permission-aware applications that enforce existing governance rules without code duplication.
Databricks introduces Genie Ontology to provide AI agents with enterprise-specific context, enabling accurate business analysis and automated workflows for product teams.
A leading Asian fashion e-commerce platform built a real-time recommendation system on Databricks, processing 1,000 events per second to serve over 1 million monthly active users with personalized suggestions.