Edge computing is the next major trend in data management
The move to cloud computing represented a fundamental shift in the development of digital networks. Cloud computing enables companies to store and process data in data centres rather than on computers, with a variety of benefits. However, cloud computing can struggle to process vast quantities of data in real time. As devices becoming increasingly reliant on AI, instant data analysis has become a necessity. Enter edge computing.
Edge computing, also known as fog computing, refers to the movement of power from the cloud to the edge of a network. The network’s core is made up of servers and data centres, while devices are connected to its ‘edge’. For example, a smartphone is connected to the edge of a carrier’s network. The gadgets are still connected to the internet, but they have more computing power and greater capabilities. Edge computing is about bundling more computing, storage and analysis ability into smaller devices at the machine location, rather than in ethereal data centres.
From a business perspective, the benefits of edge computing are clear. Precise, accurate data management allows for predictive maintenance, real time analytics, and the expansion of smart manufacturing, as well as lowering the cost of transferring data to the cloud. For these reasons and more, edge computing will encourage the growth of the Industrial Internet of Things (IIoT), in which sensors and connectivity are applied to manufacturing and production lines.
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