Machine learning in the data center means that decisions on how to optimize the data center environment are increasingly being made by machines rather than by humans and the rule of thumb. This is dialling out risk, optimizing space, cooling and power management.

Based on case study material this presentation will show numerous examples of where the application of machine learning to data center cooling, space and power capacity challenges has led to unexpected optimization results.