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 McKinsey,…
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 data…
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 use, and CO₂…
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 zettabytes….
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 issue: global data storage…
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 trusted. This…
