The Intelligent Edge

Model monitoring for predictive analytics at the edge begins with input, i.e. the data and how it is collected. I like to say, the Internet used to be a thing, but now, things are the Internet. In the Internet of Things, "things" are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems. The data that is collected at the edge often needs to be processed in real-time in order to fuel predictive modeling or to reveal novel patterns in the data that may inspire questions we didn't think to ask about the things that we are monitoring. Some examples of edge applications are technologies like drones or self-driving cars, which operate autonomously through software controlled plans and onboard edge sensors, including GPS.