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Data as the Oxygen of AI: Storage Shortage Undermines Trust (1/4)
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This is the first part of a four-part blog series on the challenges of data storage in a world of ever-growing demand. A recent article by Vincent Oostakker in Data News (28 July 2025) caught my attention: “Without sufficient data storage, we can no longer trust AI.” In short, his article highlights a pressing…
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Why Data Quality Is the Real Foundation of GenAI Success (Part 3)
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Scaling GenAI with Federated, Domain-Driven Data Governance The previous blog posts explained how Data Quality plays a very important role, if not the most important one, in maximizing the value of GenAI. Several GenAI pilots are underway, and the million dollar question is: how do we make the leap to large-scale production use? To…
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Why Data Quality Is the Real Foundation of GenAI Success (Part 2)
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From Strategy to Execution: Making Data Governance Actionable The BARC BI & Analytics Trend Monitor 2024 confirms a clear direction: organizations are no longer debating the importance of data quality — they’re now grappling with execution. While GenAI garners headlines, the real groundwork lies in operationalizing robust data governance and elevating data literacy across…
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Why Data Quality Is the Real Foundation of GenAI Success? (Part 1)
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According to BARC’s 2024 survey, “Data Foundations” has emerged as one of the top priority for data and analytics leaders. This continues a long-standing focus on data quality which has remained a top concern for over a decade. The continued rise of data governance reflects both the growing maturity and complexity of data environments,…
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Ontology: Hype or Sustainable?
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In my latest contacts with clients, they keep coming up with an ontology. The question then arises: is this a new hype or a solid and essential concept for the future? The client’s question proves the increasing interest in ontologies in recent years, due to the need for semantic clarity and data integration. It…
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Apache Iceberg: Excel for Massive Data Volumes!Unlocking Business Potential
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Over the past year, we’ve been hearing more and more about Apache Iceberg. But how can we explain what Apache Iceberg is to an information worker? The simple answer: “It’s like Excel, but for huge amounts of data.” We’re all familiar with the volume problem: an ever-growing number of Excel files stored in folders…
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