To solidify its position at the center of the industrial IoT (IIoT), GE Digital is going to the edge. That is, it’s adding features to its Predix platform as a service (PaaS) to let industrial enterprises run predictive analytics at the network edge, as close as possible to data sources, whether they be pumps, valves, heat exchangers, turbines or even machines on the move.
The main idea behind edge computing is to analyze data in near real-time, optimize network traffic, and cut costs. At its annual Minds + Machines conference this week in San Francisco, GE Digital, the software arm of industrial conglomerate GE, is offering an array of new applications and features designed to run at the edge network and let companies more efficiently and precisely plan service times and predict equipment failure.
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