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GE adds edge analytics, AI capabilities to its industrial IoT suite

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GE is making a bid to influence industrial IoT by adding new features to its Predix platform-as-a-service offering.

To solidify its position at the center of the industrial internet of things (IIoT), GE Digital is adding features to its Predix platform as a service (PaaS) that will let industrial enterprises run predictive analytics 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 on the edge network and let companies more efficiently and precisely plan service times and predict equipment failure.

The new apps, which extend the Predix Edge platform announced at Minds + Machines last year, also are meant to connect information and operational technology (OT and IT) systems to better manage companywide assets, for example bringing data from the factory floor and inventory facilities into ERP and supply-chain systems that may reside in corporate data centers or in the cloud.

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Article Credit: NETWORK WORLD

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