Product and companyCollibra blog: insights on data governance and AIJul 30 2mo2 months agoCustomer zero: How Collibra built an org-wide AI analyst on its own governed contextWhy we built Dwight: So what is Dwight, plainly?: Dwight is Collibra’s internal agentic analyst: an AI analyst that queries data for you. You ask a question in plain language, and it figures out the answer the way a human analyst would.CollibraRead
AI and agentsCollibra blog: insights on data governance and AIJul 29 2mo2 months agoAutomated AI traceability for Snowflake CortexMore and more organizations are building AI where their data lives: in Snowflake. With Snowflake Cortex AI, teams can create agents, analysts and AI applications on enterprise data in minutes. But speed without visibility creates risk.CollibraRead
AI and agentsCollibra blog: insights on data governance and AIJul 28 2mo2 months agoDelivering operational trust for AI agentsAI agents are moving into production faster than organizations can govern them. According to Deloitte's 2026 State of AI in the Enterprise survey, 74% of organizations expect to be using AI agents at least moderately by 2027, up from 23%...CollibraRead
AI and agentsCollibra blog: insights on data governance and AIJul 28 2mo2 months agoA single governed source of truth for every AI agent and platform: Introducing Collibra’s governed context compilerAs organizations scale AI agents, the context those systems rely on determine whether they succeed or fail. A developer asking Snowflake Cortex about "monthly active users" may get a different answer than a colleague asking Databricks...CollibraRead
Product and companyCollibra blog: insights on data governance and AIJul 27 2mo2 months agoSAP Signavio + Collibra: Where process meets governanceWhen process and governance teams work in isolation, they can't reliably show where data originates or whether it's trustworthy, and closing that gap pays off.CollibraRead
Data engineeringCollibra blog: insights on data governance and AIJul 27 2mo2 months agoThe context AI needs. The control you requireThe world changed. Our category had to follow. For two decades, the promise of enterprise data was intelligence. Build a clean warehouse. Connect it to a BI tool. Give analysts a dashboard. Let humans make the call.CollibraRead
AI and agentsCollibra blog: insights on data governance and AIJul 27 2mo2 months agoInsurance's GenAI unstructured data challengeThe insurance industry is built on data: every policy written, claim filed, and risk assessed depends on it. Yet for most Property and Casualty, Life and Annuity, and even Specialty lines carriers, the vast majority of their data remains...CollibraRead
Product and companyCollibra blog: insights on data governance and AIJul 27 2mo2 months agoData Product interoperability: Native Integration for Databricks, Google, SAP and SnowflakeAI has raised the stakes on data products. Every major platform now ships its own: SAP, Snowflake, Databricks and Google. But a data product is only as good as the context around it, and that context fragments the moment products are...CollibraRead
AI and agentsCollibra blog: insights on data governance and AIJul 20 3mo3 months agoWhy AI agents fail: they don't understand your businessA mounting problem across every enterprise Enterprise AI isn't failing because the models aren't good enough. It’s failing because the models don't understand the business they're operating in.CollibraRead
ResearchCollibra blog: insights on data governance and AIJul 13 3mo3 months agoWhy data context and sovereignty are board-level concerns for pharma AI leadersMost pharma and life sciences organizations are sitting on a goldmine of proprietary data to better patient health and their own market positions, decades of clinical trials, real-world evidence, genomic research, pharmacovigilance...CollibraRead
Product and companyCollibra blog: insights on data governance and AIJul 7 3mo3 months agoClock is ticking: Why banks can't ignore unstructured dataThere's a paradox sitting at the heart of banking. US financial institutions collectively spend nearly, yet productivity struggles, cost-to-income ratios remain stubbornly high, and the promised AI transformation keeps getting deferred.CollibraRead
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