#Databricks

MLOps Tools for Production AI

Explore MLOps frameworks, from open-source tools like MLflow and Kubeflow to end-to-end platforms, to streamline your production ML pipelines.

AI Overhauls Business Analytics Tools

AI is transforming business analytics tools, moving them from static reporting to predictive insights, but a unified data foundation is key to unlocking their full potential.

The Semantic Layer: Data's Single Source of Truth

The semantic layer translates raw data into business meaning, ensuring consistency for BI and AI, with modern architectures embedding this logic directly into the data platform.

Enterprise Data Science Gets Real

Discover how 15 enterprise data science use cases are transforming operations, from manufacturing to finance, leveraging modern lakehouse architectures.

Databricks' coSTAR for AI Agents

Databricks details its coSTAR methodology for rapidly and safely deploying AI agents, addressing key testing challenges.

Databricks Tackles Kubernetes Load Balancing

Databricks engineers are presenting innovations in Kubernetes load balancing and AI-powered debugging at SRECon 2026.

Databricks Tackles Agentic AI Risks

Databricks enhances its AI Security Framework with 35 new risks and 6 controls for autonomous agent deployment, focusing on memory, planning, and tool usage.

Mazda's GenAI Leap in Service Ops

Mazda built a governed GenAI assistant on Databricks Lakehouse in 8 weeks to improve technical service operations, integrating RAG and Unity Catalog.

Databricks Adds Serverless NVIDIA GPUs

Databricks launches AI Runtime, offering serverless NVIDIA GPUs for simplified AI model training and fine-tuning directly within the Lakehouse.

Spark Streaming Hits Millisecond Latency

Databricks' Apache Spark Structured Streaming real-time mode is now GA, offering sub-second latency and consolidating streaming needs onto a single engine.

Databricks Lakeflow Jobs vs Airflow

Databricks Lakeflow Jobs offers native lakehouse orchestration, mapping Airflow patterns like XComs, sensors, and branching to a more integrated, data-centric model.

Databricks Adds Free Data Ingestion Tier

Databricks launches a free tier for its Lakeflow Connect data ingestion tool and enhances its AI capabilities with Lakebase and Genie updates.

Databricks rolls out Qwen3 embedding model

Databricks rolls out Qwen3-Embedding-0.6B, a compact, multilingual embedding model designed to boost AI agent performance and retrieval accuracy.

Data Science Careers: What You Need in 2024

Explore the essential skills, educational pathways, and diverse career roles in data science for 2024, from Data Analysts to ML Engineers.

GCI Taps Databricks for Alaska's Network Data

GCI leverages Databricks Metric Views and AI tools to analyze trillions of data points, improving network performance and customer experience across Alaska.

TetraScience Unlocks Biopharma AI

TetraScience partners with Databricks to transform biopharma R&D by making lab data AI-ready, slashing development times and accelerating drug discovery.

AI Drills Deeper for Oilfield Insights

Databricks introduces an AI agent that translates complex drilling data into natural language, simplifying operations and reducing costly downtime.

Databricks Delta Sharing Adds ABAC

Databricks Delta Sharing now supports ABAC, enabling providers to share data without copies and recipients to apply fine-grained access controls.

Databricks Streamlines AI Agent Deployment

Databricks launches Agent Bricks, Databricks Apps, and Databricks One to simplify and accelerate the production deployment of enterprise AI agents.

Databricks Serverless JARs Launch

Databricks Serverless JARs enable instant deployment of Scala/Java Spark jobs, eliminating cluster management and offering usage-based billing.

Spark Drops Microbatch for Real-Time

Apache Spark's Real-Time Mode (RTM) breaks microbatch barriers, enabling millisecond latency for streaming workloads with a new hybrid execution model.

Azure Databricks Workspaces Go Serverless

Databricks Serverless Workspaces are now GA on Azure, simplifying setup and accelerating analytics and AI by removing infrastructure management.

AI Governance: Control, Not Code, Drives Success

Enterprise AI success hinges on robust governance, focusing on control and trust rather than just code, as Databricks leaders explain.

Databricks Serverless Simplifies Data Ops

Databricks serverless compute automates infrastructure management, boosting performance and cutting costs for data engineering workflows.

Data Warehouse Migration Myths Debunked

Common misconceptions about data warehouse migration are hindering AI readiness. Learn how to focus on value, engage stakeholders, and strategically modernize for faster ROI.

Nuclear Power Fuels AI Data Center Boom

Nuclear power is being tapped to meet AI's massive energy demands, with ontologies playing a key role in scaling operations.

Databricks Tackles AI Agent Security

Databricks outlines a practical guide to securing AI agents against prompt injection by applying Meta's 'Agents Rule of Two' framework and implementing layered controls.

Databricks CEO on AI Agents and Market Trends

Databricks CEO Ali Ghodsi discusses the launch of 'Genie Code,' an AI agent for non-technical users, and the acquisition of Quotient AI to enhance AI monitoring.

Databricks Takes AI Agents to HIMSS

Databricks is showcasing its agentic AI solutions, including Databricks Genie, at HIMSS26, focusing on trust and governance for healthcare applications.

Databricks Buys Quotient AI

Databricks acquires Quotient AI to enhance AI agent reliability and performance in production environments, integrating its evaluation technology into key products.

Databricks' Genie Code: AI for Data Work

Databricks launches Genie Code, an AI agent designed to automate and optimize complex data workflows, promising to double success rates over traditional coding agents.

Databricks Lakehouse Adds Autoscaling

Databricks Lakehouse autoscaling eliminates provisioning headaches, dynamically adjusting compute for performance and cost savings, and can scale to zero.

Databricks Unleashes Genie Code AI

Databricks launches Genie Code, an AI agent designed to automate data tasks and significantly improve success rates in data science.

Databricks Unlocks Billion-Scale Vector Search

Databricks unveils a redesigned vector search capable of handling billions of vectors, drastically cutting costs and improving scalability.

Databricks Visualizes Agent Data

Databricks enables AI agents to generate governed, portable visualizations using Vega-Lite, dramatically speeding up insight delivery and user adoption.

AI Agents Tackle Healthcare Referrals

Fivetran and Databricks are teaming up to tackle fragmented healthcare data, enabling agentic AI for smarter referrals and natural language data querying.

Databricks Automates PII Discovery with LLMs

Databricks deploys LogSentinel, an LLM-powered system, to automate PII detection and data governance across its platform, slashing review times and enhancing security.

Databricks Streamlines Real-Time Data Apps

Databricks' Zerobus Ingest and Lakebase combine for streamlined IoT data ingestion and low-latency operational applications directly on the Lakehouse.

Databricks Streamlines Lakehouse Migrations

Databricks updates Lakebridge with AI-powered SQL conversion and enhanced assessment tools to simplify data warehouse migrations.

Databricks Powers Non-Profit Data Engine

Global Orphan Project transforms data operations with Databricks, enabling real-time insights and AI-driven donor engagement.

Databricks' KARL Cuts Agent Costs

Databricks' new KARL AI agent drastically cuts costs and latency for enterprise knowledge tasks using custom reinforcement learning.

Databricks Unifies Data Discovery

Databricks enhances Unity Catalog with a new Discover experience, embedding business context and streamlining data access for enterprises.

Databricks Tames Data Chaos

Databricks' new Unity Catalog 'Discover' feature aims to end data chaos with business context, domains, and integrated access.

Bayer Consumer Health Unifies Data with Databricks

Bayer Consumer Health leverages Databricks and Unity Catalog to create a unified, governed data platform, enabling global self-service analytics and eliminating data silos.

Databricks Lakehouse Gets Postgres Boost on Azure

Databricks launches Azure Databricks Lakebase, a serverless PostgreSQL service integrating operational data into the lakehouse for unified app development and analytics.

Databricks Reffy: From Tribal Data to AI Answers

Databricks' Reffy uses AI and RAG to turn scattered customer stories into an instantly searchable knowledge base for sales and marketing.

Spark Ditches Dual Engines for Real-Time Mode

Databricks' new Real-Time Mode for Spark aims to deliver sub-second streaming speeds, eliminating the need for separate processing engines.

Palantir and Databricks Forge Seamless Data Architecture for Operational AI

Enterprise AI Shifts from Hype to Agents, Databricks CEO Ghodsi Reveals

Salesforce & Databricks: Unleashing the Power of Zero Copy

This integration kills the need for slow ETL pipelines by allowing Salesforce and Databricks to access each other's data in real-time, right where it lives.