Originally published December 22, 2017
The Internet of Things (IoT) is much more than just connecting devices to the Internet and Cloud, it’s about generating new business insights, automating business and production processes and accelerating innovation cycles. The vast array of IoT implementations are difficult to comprehend, as they can encompass everything from factories that run with little staff to smarter cities to virtual reality assisted repairs and medical procedures.
What all these use cases have in common is multiple connected devices, which show no sign of slowing down anytime soon. In fact, the number of enterprise IoT devices is expected to reach 8 billion by 2020, which in turn is generating massive amounts of data. The ability to store and move this data, however, is becoming problematic. Moreover, less than one-third of the data generated from these machines is considered high-value from a data processing perspective.
In order to optimize the capture, transmission, processing, analysis and storage of what can amount to petabytes of data every month, data needs to be processed and analyzed at the edge of the wide area network (WAN). Enter Edge Computing, which can range from single collection, parsing and forwarding of “denatured” data to rich Analytics that involves Machine Learning and localized event processing and actions.