How Edge IoT Is Reshaping Industry

Fleet tracking, asset tracking, autonomous vehicles, manufacturing automation and warehousing are all areas in which artificial intelligence-embedded chip technologies can offload network data-carrying loads. They can do this while providing frontline, real-time information. Many of these on-the-go processes need lots of data to be activated. At the same time, they need this data in real time, and in transit, to take place. Instead these processes benefit most from edge computing, which brings compute, networking and other resources directly to the devices and data that need them. By activating artificial intelligence (AI0 processing loads at the level of a system-on-a-chip (SOC), IT can expand its options for distributing and offloading data-processing loads to different layers of enterprise architecture (e.g., cloud, a central data center, or the edge itself).