Product and companyCollibra blog: insights on data governance and AIApr 23 6mo6 months agoAI needs context: Why data alone is not enoughRethinking the data assumption For years, AI strategy has been built on a simple premise: either quality or quantity, preferably both, of data leads to better outcomes.CollibraRead
InfrastructureCollibra blog: insights on data governance and AIApr 22 6mo6 months agoGoogle Cloud and Collibra deepen their partnership to bring business context and semantics directly to the Knowledge CatalogThe speed of innovation in the data space isn’t just accelerating; it’s hit warp speed. As organizations race to harness the power of AI, they face a recurring roadblock: a fragmented data estate.CollibraRead
AI and agentsCollibra blog: insights on data governance and AIApr 13 6mo6 months agoDelivering AI at race pace without losing controlAt the Gartner Data & Analytics Summit, one theme came up in almost every conversation I had with organizations: the pace of AI is accelerating, and agents are now at the center of that shift.CollibraRead
Data engineeringCollibra blog: insights on data governance and AIApr 10 6mo6 months agoThe semantic layer has always been essential. Now it's existentialThe semantic layer is not a new idea. It has existed for decades, and for most of that time it operated quietly in the background, doing unglamorous but essential work: making enterprise data legible to the people who needed to act on it.CollibraRead
SecurityCollibra blog: insights on data governance and AIApr 6 6mo6 months agoHow the NIS2 Directive is redefining data intelligence and securityThe 2026 perspective: Beyond the deadline The grace period for the NIS2 Directive has long passed. The estimated 160,000 European companies originally impacted are no longer "preparing", they should be now operating under a regime of...CollibraRead
AI and agentsCollibra blog: insights on data governance and AIApr 1 6mo6 months agoModels are commodities, context is proprietary: Why context engineering is the new business standardThe shift from model centrality to contextual determinism The "model wars" are characterized by a persistent miscalculation: we treat the LLM as the destination when, architecturally, it is shifting toward a utility.CollibraRead
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