Databricks
Data Platform
Data lakehouse platform, DBRX model, Mosaic ML acquisition.
Recent activity
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The last mile: why great first-party data still doesn't make great marketing
Great first-party data alone does not guarantee effective marketing, as it often falls short of activating customer signals into real-time campaigns due to integration bottlenecks and siloed tools in the martech stack. A unified data foundation and Agentic CDP are necessary to bridge this gap. AI summary
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How Dow Built a Carbon Footprint Ledger on Databricks to Accelerate Sustainability at Scale
Dow built a Carbon Footprint Ledger (CFL) on the Databricks Data Intelligence Platform to unify enterprise data and calculate cradle-to-gate Product Carbon Footprints (PCFs) for its entire portfolio, reducing processing time from weeks to a fraction of that with end-to-end PCF processing and full lineage and audit-grade governance. AI summary
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Why R&D Data Belongs in the Lakehouse - and Why Agents Need It There
Databricks' Lakehouse architecture is being used to integrate scattered R&D data from various source systems into a unified, AI-ready product, enabling industrial AI in industries like heavy-duty applications, where data from multiple sources needs to be combined for analysis. The Data Hub, built on Unity Catalog and Lakehouse Federation, provides a single UI for humans and an MCP server for agents, ensuring data governance and context. This setup accelerates complex R&D investigations from weeks to days, delivering cumulative value through reviewed business context. AI summary
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Announcing the Public Preview of Discover and Domains, powered by Unity Catalog
Databricks has announced the Public Preview of Discover and Domains, powered by Unity Catalog, which provides an internal marketplace for data and AI assets, enabling users to find trusted, relevant data and AI assets through business-aligned organization, curation, and AI-powered recommendations. Domains provide business context that helps agents use the assets reliably, and the Discover page is the human-facing experience where people can browse domains and find the assets they need. This feature extends Unity Catalog Semantics to capture how organizations structure and understand their data in business terms. AI summary
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Branching databases like code: a CI/CD pattern for Lakebase, in production at Glaspoort
Glaspoort's Lakebase branching setup branches every environment from production, creating ephemeral per-PR databases for CI/CD, and treats migrations as the single source of truth, avoiding the "reset-from-parent trap" in development and acceptance environments. AI summary
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Scaling document classification to 100k+ labels
Researchers at Databricks developed a solution to map freeform text to large taxonomies of 100k+ labels, outperforming existing frontier models in accuracy and cost. By combining vector search with the Databricks AI Classify function, they achieved a five-point accuracy improvement at a fraction of the cost of traditional models. This approach is particularly useful for large-scale taxonomy classification tasks in industries such as biomedicine, finance, and e-commerce. AI summary
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The three ways AI unlocks transformation in Retail, Travel, and Consumer Goods
It is 5:45 on a Friday morning, and a store manager is standing in the back office...
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AI Transparency: Governance, Explainability, and Data Practices
AI transparency is the practice of making an artificial intelligence system's data, model behavior...
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Responsible AI: Governance, Principles, and Practical Guide
Responsible AI: Governance, Principles, and Practical GuideResponsible AI is the...
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Tech builds on AI. Finance protects the margin.
Ask a tech company CFO where the quarter's margin is landing, and you will get a...
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