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By doing so, real-time data does not suffer latency issues that would impact the application’s performance. In addition, companies also save a lot of money by having the processing done locally by reducing the amount of data that needs to be processed in a centralized or cloud-based location, by using an edge computing solution. Even though the initial goal of edge computing platform was to reduce bandwidth costs over long distances for IoT devices, it is expected that this technology will be driven by the advent and growth of real-time applications that require local processing and storage capabilities.