Brian Land

The New Standard for Enterprise Intelligence: Claude Cowork + Kyvos is Live. 🚀 By architecting a direct integration between Claude’s high-reasoning capabilities and Kyvos’s governed semantic layer, we’ve eliminated the "hallucination gap" in big data analytics. This isn't just a UI wrapper; it’s a fundamental shift in how AI interacts with complex schemas. Why this matters for the stack: • Deterministic Grounding: Agents now operate within a unified business logic framework, ensuring they query metrics��not just raw tables—to deliver 100% verifiable outcomes. • Semantic Abstraction: By leveraging Kyvos’s multidimensional cubes, Claude can navigate massive datasets without the overhead of manual SQL optimization or context-window saturation. • Zero-Guesswork Workflows: Agentic workflows now execute with full awareness of enterprise hierarchies and governed definitions, moving from probabilistic "best guesses" to governed precision. Stop prompting. Start orchestrating. #EnterpriseAI #AgenticAnalytics #BigData #GenerativeAI #SemanticLayer #DataGovernance #ClaudeAI #Kyvos #DecisionIntelligence

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Meet KARL: a faster agent for enterprise knowledge, powered by custom reinforcement learning (now in preview). Enterprise knowledge work isn’t just Q&A. Agents need to search for documents, find facts, cross-reference information, and reason over dozens or hundreds of steps. KARL (Knowledge Agent via Reinforcement Learning) was built to handle this full spectrum of grounded reasoning tasks. The result: frontier-level performance on complex knowledge workloads at a fraction of the cost and latency of leading proprietary models. These advances are already making their way into Agent Bricks, improving how knowledge agents reason over enterprise data. And Databricks customers can apply the same reinforcement learning techniques used to train KARL to build custom agents for their own enterprise use cases. Read the research

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A great case study on how NAB retired their 26-year Teradata warehouse and migrated 95% of critical workloads to Databricks SQL—moving more than 400 use cases and enabling 1,200+ users with governed, real-time analytics. NAB now operates at a level of agility impossible in the old world. For example, a cross-functional team recently launched a new regulatory dashboard in under a week—a process that had often required several months of coordination and manual development. Congratulations Christian Nelissen and Joanna Gurry Read more at: https://lnkd.in/gTdJd_iP #ai #data

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Azure Databricks Lakebase is now generally available. It is a managed, serverless Postgres built for the Databricks Platform on Azure that eliminates brittle ETL pipelines and data duplication so teams can build on one governed data foundation. Read more:

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Big news: Databricks and OpenAI are partnering to deliver powerful AI to the enterprise. OpenAI frontier models will now be available natively in Databricks. This means you can build, evaluate and scale production-grade AI apps and agents on your governed enterprise data, leveraging the latest OpenAI models like GPT-5. We’re excited to expand our relationship with OpenAI; Databricks was one of the first to host gpt-oss open models, they use Databricks products and now we’re offering OpenAI models natively on Databricks: https://lnkd.in/gqqPPAXW

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🚀 Databricks + Microsoft 365: Data Intelligence Where You Already Work The biggest barrier to data-driven decisions isn't a lack of data—it's the friction of switching tools. At Microsoft #FabCon, Microsoft Azure Databricks just announced a game-changer for business productivity. We are bringing the power of the #Lakehouse directly into #Excel, #Teams, and #Mobile. 📈 The End of "Fragile Exports" in Excel The new Azure Databricks Excel Add-in (Public Preview) connects your spreadsheets directly to Unity Catalog. * No more CSV exports: Work with live, governed data. * Power of Metric Views: Build pivot tables using consistent semantic definitions. * Universal Access: Works seamlessly across Windows, macOS, and the web. 💬 Insights in the Flow of Work * Genie in Teams: Access trusted AI insights through Databricks-enabled Copilot Studio agents directly within Microsoft Teams. * Databricks One Mobile: A brand-new mobile experience (iOS/Android) that puts Genie multi-agent chat and AI/BI Dashboards in your pocket. 🤝The Value: We’re moving from "requesting a report" to "asking a question" exactly where the conversation is happening. This is how you scale data intelligence across the entire enterprise. To know more about the announcements: https://lnkd.in/eVcvkTUu Ready to bridge the gap between your data and your desktops? #AzureDatabricks #Microsoft365 #FabCon #DataIntelligence #Excel #AI #BusinessIntelligence

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Disagreement over definitions slows teams down. In his latest piece, Dillon Morrison explains why Sigma, Snowflake, and other industry leaders teamed up to launch the Open Semantic Interchange.

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