SWIM Blog

SWIM Blog

    Five Ways Real-Time Edge Analytics Can Save the Day

    Posted on Sep 28, 2017 2:28:14 PM by Swim Team in Machine Learning, in Stateful Applications, in Swim Software, in Industrial IOT, in Edge Analytics, in Digital Twin

    Swim ESP™ provides edge analytics capabilities for brownfield industrial environments, enabling businesses to extend existing sensor networks into the real-world and leverage the compute power of already-deployed devices. Swim applies Machine Learning at the network edge, taking advantage of computing resources on deployed devices to perform real-time edge analytics. Swim automatically builds a distributed, secure, resilient fabric that enables connected devices to share insights with each other, spreading knowledge through the fabric similar to the way knowledge spreads in the real world.

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