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Every data center on the planet is quietly becoming something different than it was five years ago, and most of the people responsible for running them are learning this in real time, one unfamiliar alert at a time. The Intelligent Data Center is written for exactly those people - facility engineers, operations leaders, sustainability officers, and the executives who fund the infrastructure decisions all of them depend on - and for anyone else trying to understand how artificial intelligence is genuinely reshaping the physical backbone of the digital world, rather than simply generating headlines about it.
This book does not promise a facility that runs itself, and it does not treat automation as a substitute for the hard-won judgment of experienced engineers. What it offers instead is a clear, grounded account of what intelligence actually means when applied to concrete, copper, and cooling fluid: how predictive models are changing maintenance from a calendar exercise into a genuine science of condition, how digital twins let costly mistakes be caught in simulation instead of on site, how algorithmic optimization is quietly reshaping the industry's relationship with energy and water, and how resilience itself has to be rethought once the systems it protects have grown more complex, more autonomous, and more valuable than ever before.
Grounded throughout in realistic, illustrative scenarios rather than any single company's marketing story, this book moves from the operations floor to the boardroom, from the physics of liquid cooling to the regulatory scrutiny now arriving on the industry's doorstep. Readers will come away with a working vocabulary for a fast-moving field, a practical framework for assessing where their own organization actually stands, and a clear-eyed sense of both the genuine promise and the real limits of AI in the facilities that keep the modern world running.
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