One of the primary appeals of IoT within the built environment is the ability to connect to existing data-rich devices and equipment for greater analysis and insight into their operation and performance. Over the past couple of years, we have seen clear movement toward computing and intelligence to the edge. With it, the industry is moving towards a distributed data architecture where multiple nodes work together to perform analytics at the edge.
Computing and analytics are increasingly beginning to reside at the equipment and device sources, enabling data to be generated faster, more efficiently and more reliably than ever before. The ongoing evolution of micro-processing technology has meant that sufficient computing power to perform the heavy lifting of data analysis can now be performed directly onboard the devices themselves. This evolution is happening because of the need to streamline the amount and types of data, reduce latency and manage bandwidth, reduce the amount of data sent to the cloud, reduce complexity, decrease network, improve system response time and decrease potential failure points. The result is the advent of Edge Analytics.