Databricks

The Databricks Apps & Agents for Good Hackathon is back at #DataAISummit 2026! In partnership with OpenAI, this two-day hackathon brings developers, engineers, and AI builders together to create agentic data applications for social impact using Lakebase, Agent Bricks, and Databricks Apps. Applications are open for teams of 2–4 and close on 5/31. If you're attending Data + AI Summit, apply now to secure your spot ↓ https://lnkd.in/gzwS-zgH

🧞 Genie Code brings an autonomous AI partner directly into Lakeflow, helping data engineers build, orchestrate, monitor, and debug pipelines and jobs from a single agent experience. With natural language, teams can: • Generate production-ready pipelines and orchestrate jobs • Trace lineage and understand how data flows through pipelines • Diagnose failures and review proposed fixes before applying changes • Extend existing workflows with Auto Loader, AutoCDC, and medallion architectures while staying aligned with governance and operational standards https://lnkd.in/gK9UGTy5

Data + AI Summit 2026 Session Scheduler is now live! Ready, set, schedule. There’s a lot happening at #DataAISummit, and now’s your chance to lock in your on-site experience. Start building your agenda now 👇 https://lnkd.in/gvmEp7Aq

Databricks consulting and SI partners are building industry-specific conversational AI solutions on top of Databricks Genie to help organizations move from static dashboards and reporting queues to real-time, governed insights. The latest partner solutions span financial services, healthcare, retail, manufacturing, media, energy, and the public sector, supporting use cases ranging from risk monitoring and supply chain intelligence to clinical analytics and customer engagement. Explore how partners are combining domain expertise with Databricks Genie to accelerate enterprise AI adoption across industries. https://lnkd.in/gxakKSVV

Modern analytics needs more than dashboards. It needs a new foundation. This free one-hour course covers: • Delivering trusted, AI-powered insights using unified data, governance, business logic, and the lakehouse • AI/BI Dashboards, Genie spaces, semantic layers, and data transformation approaches for modern analytics workflows • How to unify analytics workloads on the lakehouse • A short quiz to earn a Databricks badge for LinkedIn or your résumé! 🔰 https://lnkd.in/g_eiia9h

"AI doesn't have an intelligence problem. AI has a context problem. The top-of-mind question for every CEO on the planet is: How do we feed it that context? And that context is in the data." Databricks co-founder and CEO Ali Ghodsi joined Jim Cramer on CNBC's Mad Money to discuss how context is the missing piece for enterprise AI agents to reach their potential and how Databricks Genie, built around an ontology graph that maps a company's data, gets them there. Watch the full segment: https://lnkd.in/gwJAk5jd

SAP Business Data Cloud now automatically syncs semantic metadata and governance tags into Databricks Unity Catalog, making SAP data more understandable, discoverable, and AI-ready from the moment it’s accessed. Highlights: • Automatic sync of descriptions and primary/foreign key relationships into Unity Catalog • PersonalData governance tags for fine-grained access controls with ABAC • Business context available to AI applications without manual enrichment or tagging https://lnkd.in/gAuABm2m

Leading organizations are reducing sync overhead and pipeline sprawl by running apps, agents, and analytics on the same governed foundation with Databricks Lakebase. • Superhuman replaced custom pipelines syncing Databricks data into Redis and DynamoDB, cutting feature onboarding from three months to two weeks • Replit uses Lakebase and the Databricks AI DevKit to help customers launch production code-generation AI in 3 weeks • YipitData scaled its AI agent pipeline to process 1M records per hour using Lakebase as its relational system of record inside Unity Catalog Explore how more teams are reducing the builder’s tax with Lakebase. https://lnkd.in/gfqy5P2E

Unity AI Gateway is expanding runtime AI governance with new Beta capabilities for AI agents and MCPs. New in Beta • LLM guardrails to enforce customizable safety and compliance policies • Payload logging and service policies for MCPs to improve observability and control agent actions • Cost controls with per-user alerts and budget limits across models and providers Organizations can now govern every model call and agent action with consistent policies, full observability, and enforceable cost controls in one unified layer. Learn more: https://lnkd.in/gt2k_KaC

Google's Gemini 3.5 Flash is now available on Databricks! Google just released Gemini 3.5 Flash, and Databricks is among the first outside the Gemini Enterprise Agent Platform to offer it. Build and scale agentic AI applications on your enterprise data with the governance and operational tooling your teams need for production. Congrats to the Google Gemini team on this release. We can't wait to see what you build with it! https://lnkd.in/gnU4baCA