Top Trends for 2017: Artificial Intelligence and the Internet of Things G2 Crowd

As a practical example illustrating the shift from predictive to adaptive intelligent things, take the piece of machinery that is used to put the hubcaps on cars in an assembly line. When connected sensors are installed into this machine, it is given the ability to become predictive. These sensors can give insights into when the tool might break down and alert the car company, ultimately optimizing uptime. By increasing uptime the business is saving money. However, when machine learning is embedded into the device, it can analyze a plethora of data to eventually give the company that same desired output of saving money.