Over the past 10 years we’ve watched cloud computing come of age as more and more companies send their data to the cloud for processing, storage, and management rather than keeping that data on a local server or edge gateway. The benefits of cloud computing are vast, but there’s another key development on the horizon as the Internet of Things matures: edge computing.
This session details the need for data from the intelligent edge, share real-world industrial use cases for making use of data at the edge, and communicate the benefits of a proper edge computing framework.
While only 10 percent of enterprise-generated data currently is processed at the edge, Gartner predicts that by 2022 that figure will reach 50 percent. Half of all processing power is expected to slowly shift from the cloud to edge devices, leading to IoT projects that utilize the power of both cloud computing and the intelligent edge to make smart business decisions.
Use cases for edge computing range from simple manufacturing projects to larger smart city or extended macro-level projects. The fundamental goal for all such projects is to collect data from a large body of industrial assets, and then put that data to use immediately. Some of the devices are ready for IoT, while others were never designed for IoT projects. The common thread is the challenge of gathering data from those disparate devices, then processing, analyzing and acting on the data right at the Edge of the network or device.