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To address this problem, we began applying machine learning two years ago to operate our data centres more efficiently. And over the past few months, DeepMind researchers began working with Google’s data centre team to significantly improve the system’s utility. Using a system of neural networks trained on different operating scenarios and parameters within our data centres, we created a more efficient and adaptive framework to understand data centre dynamics and optimize efficiency. 
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Curated by Farid Mheir
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Google uses artificial intelligence to analyze energy consumption in its data center to improve cooling and reduce energy consumption by 40%.
The paper also links to other most interesting links on data center operations including:
WHY THIS IS IMPORTANT
Energy is the main cost of data center operations so this is great news. Companies should thus use this news to further move their computing to the cloud as large data centers - Google, Amazon, Microsoft and others - are way more efficient than anything even large corporations can do.
This is true for energy consumption, and I contend it is also true for many other areas including security and speed of implementation. It is essential that any digital transformation make cloud computing the primary de facto standard over any on-premise operation.