Databricks

The best marketing decisions come from knowing your audience deeply. The challenge has always been doing that without compromising privacy or data security. Stagwell's Marketing Cloud, Databricks, and Adstra make both possible. AI-powered marketing tools, identity resolution, and Databricks Clean Rooms work together so brands can enrich first-party data with high-value audience signals without ever exposing raw data. Here's how it works: https://lnkd.in/eKF9RwAF

Now you can author an AI agent and deploy it on Databricks with Agent Bricks Custom Agents! - Build and iterate locally with your preferred stack - Improve agent quality with integrated evaluation and CI/CD workflows - Deploy directly as serverless Databricks Apps to a consistent, governed production environment - Store and reuse agent state with built-in memory powered by Lakebase https://lnkd.in/epp4C5kJ

Real-time data streaming has always required complicated architectures and weeks of development work to get right. Databricks Zerobus Ingest is designed to change that. CRN's Rick Whiting spoke with Senior Director of Product Management Bilal Aslam about the general availability of the fully managed, serverless ingest service that streams data directly into the lakehouse with sub-five-second latency. On what this means for teams building real-time applications: "It's minutes to hours of development, not weeks and months." Read the full story: https://lnkd.in/gfF8sf7b

Lakebase is a new category of operational database that separates compute from storage, giving you serverless Postgres that scales with demand and to zero when idle. Branch production data in seconds, store everything in open formats, and never worry about vendor lock-in. Launch the product tour: https://lnkd.in/gnhVMDzk

The Databricks Architecture Center is your hub for practical ways to build pipelines, dashboards, and AI models. Find designs for common data and AI projects across use cases: - Intelligent Data Warehousing on Databricks - Reference Architecture for Credit Loss Forecasting - Telecom Next Best Action Reference Architecture - and much more! https://lnkd.in/gcpPM8_i

What does AI inference actually look like in production? Based on real Databricks usage data across 20,000+ organizations: - 96% of requests are processed in real time, not batch - Real-time powers interactive use cases like copilots, customer support, and personalization - The Tech industry leads in real-time usage, with Healthcare and Life Sciences close behind in time-sensitive scenarios Explore the full findings: https://lnkd.in/gx6Qt7SD

Shipping enterprise data and AI apps means handling auth, governance, and deployment from day one. Databricks Apps and the new AppKit make that simpler. Build in TypeScript with production-ready patterns and run your app directly alongside governed data. With Replit integration, you can develop data-aware apps using natural language and deploy straight to Databricks under existing authentication and Unity Catalog controls. https://lnkd.in/gu4gYusF

Day-one access to OpenAI GPT-5.4 is now available on Databricks! Use GPT-5.4 on Databricks to build and scale GenAI applications on your enterprise data, end to end, with the governance and operational tooling teams need for production. GPT-5.4 achieved significant accuracy improvements on OfficeQA, a benchmark for grounded reasoning over real-world enterprise documents, driven by stronger tool use and multi-step reasoning. It's also roughly 2x faster than comparable frontier-level agent systems, translating directly to better performance in production document workflows. Congrats to the OpenAI team on this release. We can’t wait to see what our customers build! https://lnkd.in/emHcFQSh

For years, developers have had to bridge the gap between operational databases and analytics with brittle ETL pipelines. That data tax — duplicated storage, persistent lag, fragmented governance — ends today. Azure Databricks Lakebase is now generally available. Lakebase is a managed, serverless Postgres built natively into the Databricks Platform on Microsoft Azure, sharing the same storage layer as your lakehouse. Instant branching and zero-copy clones accelerate development without compromising governance. No pipelines to maintain, no data out of sync, one governance model across your entire data estate. https://lnkd.in/eq8p2C6W

Learn how the best teams are building AI agents at scale. Data + AI Summit 2026 features 800+ technical sessions on building production agents, agentic architectures, data engineering, governance, and real-world implementations. See how it's done from the teams building it. June 15-18 in San Francisco. Register: https://lnkd.in/gd_2Kw76