Increasingly complex data centers have created an opportunity for smart technology, artificial intelligence (AI), and machine-learning technology to advance rapidly. As an IT professional, when you have Internet of Things (IoT) devices that are gathering data center environment metrics such as temperature (cooling, heating, and humidity), you realize there is and will continue to be a tetraton of data to collect, monitor, and manage. This is where machine learning can help.
Power consumption was a gateway for machine learning to enter the data center scene. It allowed algorithms to predict overheating, shut down devices, or change the settings for temperature points to better manage consumption.