What is Predictive Maintenance
Predictive maintenance is the process of attempting to predict when operational equipment may fail and deploying preventive maintenance to avoid any downtime. This method is data-driven and uses predictive data analytics to monitor a variety of equipment conditions, ranging from production metrics to structural conditions that could indicate possible machinery or equipment failure. The aim of predictive maintenance is to reduce repair and upkeep costs, as well as reduce downtime as much as possible by mitigating the likelihood of a catastrophic equipment failure. See it in action:

How Can I Use Predictive Maintenance?
One of the most common and important uses of predictive maintenance is related to operation-critical machinery or devices. Data servers that hold sensitive company information, for instance, must constantly be monitored to ensure organizational infrastructure doesn’t collapse or experience blackouts. Similarly, machinery that is vital to manufacturing processes must also be closely tracked to avoid any downtime or minimize its associated maintenance costs. In both cases, it’s impractical to dedicate employee time to specifically monitor all machinery, so predictive maintenance is instead deployed to keep operations running without increasing costs.