Failures in the functioning of equipment are inevitable in any kind of industry. The repair and recovery time often leads to big financial losses each year. But we have machine learning and predictive analytics as a solution. The machine learning models are trained to learn the ideal functioning of the machinery. Then this functioning is compared with how the machines are working at present. So if even a minor change occurs somewhere, it doesn't go unnoticed. Then, with the help of predictive analytics the loss that can take place in the near future is predicted. This adds to the huge advantage of the firms. Learn more about this in the article written by Mike Reed (manager of analytical services for Avantis PRiSM software) at: http://www.intelligentutility.com/article/16/02/saving-money-and-man-hours-machine-learning

A system outage is worse than a nightmare for the IT managers. Downtime is when, the system on which your business relies is dead, down or unavailable. In spite of any levels of preparation, this problem is faced by most of the organizations. And the recovery period builds astronomical pressure on the IT team. A report suggests that the majority of the system outages is due to ill planning. System Outages lead to huge revenue losses each year. Downtime affects the reputation of the business firms significantly. Read more about system outage at: http://www.evolven.com/blog/downtime-outages-and-failures-understanding-their-true-costs.html