Databricks

#DataAISummit includes instructor-led, half-day trainings designed to build job-ready skills across data engineering, agents and AI, governance, app development, and more. Sessions cover the latest technology including Lakebase, Genie, and Agent Bricks, with hands-on experience you can apply immediately. Validate your expertise with onsite certifications and leave with credentials that demonstrate impact. Register: https://lnkd.in/gd_2Kw76

Mercedes-Benz USA is rethinking how data powers the shift to electric and connected vehicles. By moving from siloed systems to a cross-cloud data sharing model, they cut egress costs by 66%, improved data freshness, and made critical after-sales insights more accessible across teams. Warranty cases that once waited seven days for fresh data now get updates every two days, building a stronger foundation for the "data-defined vehicle." https://lnkd.in/gBymtzHz

Most "agentic AI" is still demoware. Data work and coding are clear exceptions. We believe Genie Code will be the standard for agentic data engineering work. We’ve spent 4+ years building the ideal harness for Genie Code with Spark Declarative Pipelines - so you can build, run, and remediate pipelines in natural language, with the confidence that it's backed by proven patterns and best practices. https://lnkd.in/gK9UGTy5

Encryption at rest is a baseline. Enterprises operating in highly regulated environments must control the root of trust. Lakebase Customer-Managed Keys offers comprehensive management and control across the entire architecture. And unlike traditional databases, Lakebase CMK manages both persistent storage and ephemeral compute. Rotate keys with zero downtime. Revoke access as a cryptographic kill switch. Audit key operations inside your own cloud KMS. Learn how to get started: https://lnkd.in/g6stbNsK

If you're building BI at scale, the Analytics & BI track at #DataAISummit 2026 has sessions worth adding to your schedule. Leaders from Atlassian, HP, Virgin Atlantic and more will cover the work that is moving their organizations forward: — Scaling AI-powered BI from pilot to production — Modernizing semantic layers with AI — Building trusted generative BI Join us this June to learn how to turn data into impact: https://lnkd.in/gd_2Kw76

Unity Catalog and Google BigQuery now support bidirectional catalog federation, giving customers access to the same copy of data from either platform without duplication or data movement. Unified governance applies consistently across both, deepening the interoperability between Databricks and Google Cloud. https://lnkd.in/gVAHkNSg

62% of organizations have agents in production, but only 21% have scaled them enterprise-wide. The gap is operationalization, and it's closable. That's why we partnered with Economist Enterprise to survey 1,200 leaders and interview 25 executives on what separates AI activity from AI impact. The report covers the nine capabilities leaders balance to turn AI potential into measurable results. Nearly all organizations with a unified architecture report ROI progress ahead of plan, compared with just over three-quarters of those without. Read the report for more insights: https://lnkd.in/ghGn3K9K

Build the foundational knowledge needed to move beyond basic prompts and apply AI in your organization. The course covers: - Core GenAI concepts and high-value business use cases - Balancing model quality, speed, and cost - Building secure, governed applications that prevent hallucinations - How generative AI powers autonomous AI agents Earn a Databricks badge to add to your LinkedIn profile and resume! https://lnkd.in/gx3Saa8T

#DataAISummit is powered by an amazing ecosystem of partners pushing the industry forward. Shoutout to all of our 2026 Icon sponsors: Capital One, Domo, EY, Fivetran, Glean, Informatica, Monte Carlo, Quest Software, Salesforce, and Sigma. We’re excited to showcase what we’re building together! Join us at #DataAISummit, June 15-18, and connect with them in person: https://lnkd.in/gpBihvUX

[DEMO] What does it look like when thousands of IoT events stream in from mobile phones all over the world and land in a queryable table in milliseconds? No Kafka cluster, no Kinesis, no pipeline duct tape. We built it and ran it live: - Zerobus handles ingestion - Lakebase serves the traces with millisecond latency - Genie queries the data on the spot - The whole thing runs as a Databricks App https://lnkd.in/guaYZHrw