Databricks

☘️ Aer Lingus is building its data strategy around strong foundations, real-time operations, and company-wide data literacy. Chief Digital and Transformation Officer Dave O’Donovan shares how the airline is improving operational decision-making with real-time network data, investing in data literacy from the CEO down, and exploring agentic AI to help create and review business cases. See how Aer Lingus is approaching governance, data quality, and real-time decision-making across the operation.

Mazda North American Operations built a GenAI assistant on Databricks to help service hotline agents navigate growing diagnostic complexity with faster, more consistent support. The team brought together vehicle history, recalls, diagnostic data, and service documents into a single governed platform, while building repeatable GenAI evaluations and shared retrieval logic across both the application UI and the agent itself. See how Mazda built a repeatable foundation for future GenAI applications on governed enterprise data ↓ https://lnkd.in/g9G8MBZM

Modern analytics can be a lot simpler when your data, governance, and business logic live in one place. This free one-hour training walks through how to build trusted, AI-powered insights on Databricks using AI/BI Dashboards, Genie spaces, semantic layers, and lakehouse-based analytics workflows. Take the quiz at the end to earn a Databricks badge for LinkedIn or your résumé 🏅 https://lnkd.in/g_eiia9h

Introducing the lab sponsors for the Databricks Grounded Reasoning Cup at #DataAISummit 2026: Anthropic, OpenAI, and Google DeepMind. Each lab is partnering with leading academic teams to build agents that tackle grounded reasoning over complex government data using the latest models and tooling. Swipe through to meet the teams, see the agents they’re bringing to the competition, and join us as they push the boundaries of enterprise AI reasoning live on stage! 🏆

Superhuman scaled its AI productivity platform serving more than 40 million daily users by replacing fragile custom sync infrastructure with Lakebase and Databricks Apps. ML-related data integration projects that previously took nearly three months now take about two weeks, while teams can deploy internal applications in roughly 30 minutes using reusable CI/CD workflows. The shift reduced operational overhead, simplified transactional data flows, and helped teams spend more time shipping customer-facing features instead of maintaining pipelines. Explore their transformation: https://lnkd.in/gwexhVb5

Managed Iceberg, Iceberg v3, and Foreign Iceberg are now GA in Unity Catalog, making Unity Catalog the most comprehensive, interoperable, and production-ready Apache Iceberg catalog. What’s now generally available: • Iceberg v3 support with deletion vectors, row tracking, and the VARIANT data type • Managed Iceberg tables in Unity Catalog with built-in governance, optimization, and cross-engine access • Foreign Iceberg tables that can be discovered, governed, and queried without moving or copying data • External sharing to Iceberg REST-compatible clients through the open Delta Sharing protocol • & more! These capabilities bring governed, open, and production-ready Iceberg support together in a single catalog. https://lnkd.in/gxUpFRtw

Anthropic's Claude Opus 4.8 is now available where your data already lives—governed, secure, and ready for custom AI applications and agents built on your lakehouse data. In Genie, Opus 4.8 enables deeper multi-step reasoning across structured data and unstructured content in a single response. Teams can build agents that handle complex workflows with fewer iterations and lower cost, all governed through Unity Catalog. Put Claude Opus 4.8 to work on your most important data securely and at production scale. https://lnkd.in/gnU4baCA

#DataAISummit is where conversations shaping the future of data and AI happen. Hear from the biggest names in AI sharing what they’re building, deploying, and learning in real time across infrastructure, governance, analytics, and applications. Join us in San Francisco or virtually June 15–18: https://lnkd.in/gd_2Kw76

A decade ago, only tech giants had the engineering muscle to get real value out of their data. Databricks was founded to change that. The AI boom accelerated everything. Hanlin Tang, Databricks' CTO of Neural Networks: "Companies are already deriving real value from agentic AI. I wouldn't have said that a year ago." Seven researchers started this at Berkeley. Now we're powering the next chapter. David H. Freedman covers the full story for Inc. Magazine: https://lnkd.in/g_iuqiF8

❤️ Lovable now integrates with Databricks, providing a natural language interface that allows anyone, regardless of technical skills, to build live applications that can read and write data stored in Databricks. See how teams can build dashboards, operational tools, internal chatbots, and other custom apps directly on governed Databricks data without ETL, replication, or sync jobs.