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Architecture with Discipline: The Key to Scalable Innovation
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Innovation today is no longer driven by isolated technological breakthroughs, but by an organization’s ability to continuously turn data into insight, action, and learning. Artificial intelligence, advanced analytics, real-time decision-making, and future digital capabilities all rely on one fundamental element: a data architecture that is flexible enough to evolve, yet robust enough to be…
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AI Starts With Data: Why TIQM Still Matters More Than Ever
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Artificial intelligence is rapidly moving from experimentation to embedded decision-making. Yet despite unprecedented advances in AI models, platforms, and automation, one fundamental truth remains unchanged: “AI is only as good as the data it relies on.” Poor data quality no longer just leads to incorrect reports, it results in biased models, unreliable predictions, and…
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AI, Power and Morality: The Global Struggle Over Data
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A recent Economist article (July 2025) describes how China is building a “national data ocean,” merging consumer behavior, industrial processes, and state activity into a unified system. This vast concentration of data fuels China’s AI strategy. The country is conducting an unprecedented experiment in which data is not merely a resource, but instead becomes…
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AI, Energy, and Balance: Europe’s Search for Sustainable Computing Power
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The impact of AI goes far beyond algorithms and data models — our energy infrastructure is beginning to feel the strain. As computing power grows, the rising demand for electricity is forcing Europe and Belgium to make tough choices about sustainability and capacity. Following up on my earlier blogs about the energy consumption of…
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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…