How Machine Learning Is Helping Data Centers Chill Out - Analytics India Magazine

A typical warm day on South pole is 20 degrees below zero and the irony is that the data centers run by ICE CUBE Neutrino Observatory can still get overheated. A normal day at any data center involves troubleshooting, racking and stacking and, with such enormous data in-flows, that the task becomes tedious for the employees and they are prone to sometimes failing to deliver in real-time. The technicians aren't to be blamed either because a typical UPS is reactive -- it either functions flawlessly or burns out altogether. Machine learning models, on the other hand, are proactive and they work stupendously to forecast failures. Data centers are modern-day engineering marvels.