The applications of IoT are endless. From helping cities predict accidents and crimes to enabling optimized productivity across industries through predictive maintenance, IoT is creating a treasure trove of Big Data. Using AI in IoT is the only way to keep up with this IoT generated data and gain insights.
Our world is facing a rapid expansion of devices and sensors that are connected to the Internet. The sheer volume of data that gets created by them is increasing constantly. This data holds great value as it helps in deriving useful insight into what’s working well or what’s not. For example, pointing out conflicts that can arise in industries or providing insights into business risks and opportunities. The problem arises while finding out ways to analyze massive amounts of performance data and information coming from these devices. It is simply impossible for humans to understand and review terabytes of data. For improving speed and accuracy of analyzing data coming through sensors enabled devices, AI in IoT is used.