Demystifying Machine Learning for IoT and Industrial Use

In the utopian future, machines will know when they are about to break down, make adjustments to their operations to ward off permanent damage while they continue to work, order the parts needed to repair themselves, and schedule a qualified technician to perform the repairs. They will be able to schedule maintenance so that unplanned downtime is eliminated, and generate service plans guaranteed to fix the problem right the first time around. The continuing evolution of Industrial IoT (IIoT) technology is ushering in a new era of industrial automation that is driving dramatic advancements in understanding equipment health, and enabling use cases that provide value across the business. From predictive analytics to condition-based maintenance and asset optimization, machine learning is critical to an IIoT system that is able to scale across hundreds or thousands of different vendors' equipment at multiple locations. But what exactly is machine learning and what do you need to know in order to make it work for your business?