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Global AI Projects: A Recurring Pattern of Disappointment
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Introduction The promises surrounding artificial intelligence are immense, but the reality is often disappointing. Various studies show that most AI projects never progress beyond the pilot phase or are even abandoned altogether before completion. What began as a wave of enthusiasm, for many organizations ends in costs, frustration, and missed opportunities. Recent research by…
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From Hofstadter to the MIT NANDA Report: Why 95% of AI Pilots Fail
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Sources: MIT NANDA Initiative Report – “The GenAI Divide: State of AI in Business 2025” (July 2025) Douglas Hofstadter’s “Gödel, Escher, Bach: An Eternal Golden Braid” Introduction At the dinner table during the last BARC Retreat, I was persuaded by few fellow participants to read a classic together: Douglas Hofstadter’s “Gödel, Escher, Bach: An…
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Green or Greenwashing? The Hidden Truth Behind Sustainable Data Centers (4/4)
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In our previous blogs, we outlined several efforts aimed at making data storage more sustainable. However, some critics remain unconvinced, often dismissing these efforts as little more than marketing rhetoric. They argue that green claims must be substantiated with hard data. Let’s take a closer look at some of the critical perspectives on the…
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From Critical Insight to Concrete Action: Mitigating the Environmental Impact of Data Storage (3/4)
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Over the past two blogs, we explored how essential data storage is to building trustworthy AI, and how this rapidly growing storage demand is driving a mounting ecological footprint. While the first blog highlighted data as the oxygen of AI, the second exposed that this oxygen comes at a high cost: electricity consumption, water…
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Data: The New Waste Crisis – The Hidden Impact of Storage Growth (2/4)
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In my previous blog, I highlighted how essential sufficient data storage is to deploy AI in a reliable and scalable manner. In this follow-up, we take a closer look at the darker side of our insatiable storage appetite: its environmental impact. Recent estimates suggest that by 2025, the global data volume will exceed 200…
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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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