Unraveling Mystery of Machine Learning in IoT

There is a lot of buzz around predictive analytics for industrial machinery, particularly in manufacturing and for heavy-duty vehicles in trucking, construction, and farming. Machine learning is often cited as the secret sauce of predictive analytics, but few people really understand what it is and how it works. The idea behind predictive analytics is that as complex machinery becomes connected to private industrial networks and ultimately the internet, the information it generates can be used to predict and fix failures before they happen, thus avoiding expensive downtime and productivity disruptions. Machine learning is important to be able to make sense out of the huge quantities of data generated by this equipment and drive this knowledge back into the business. Here's what you need to know about it.