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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    Swim Swarm: Digital Twins + UAVs + Machine Learning

    Posted on Sep 22, 2017 11:21:00 AM by Swim Team in Machine Learning, in Swim Software, in Industrial IOT, in Edge Analytics, in drones, in UAV's, in Digital Twin, in Swim Swarm

    Swim ESPTM is a streaming data analytics engine that applies machine learning in real-time, taking advantage of a distributed learning architecture to gain efficiency, ensure security and high availability, and to permit rapid and reliable dissemination of learned insights. Swim ESP is self-training and operates in real-time, training and learning continually from data streams.

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    Machine Learning at the Edge: Streaming Data Analytics Engine

    Posted on Sep 15, 2017 11:38:45 AM by Swim Team in Machine Learning, in Swim Software, in Industrial IOT, in Edge Analytics, in Digital Twin, in Swim AI

    Swim ESPTM is a streaming data analytics engine that reasons on-the-fly, taking advantage of a distributed learning architecture to gain efficiency, ensure security and high availability, and to permit rapid and reliable dissemination of learned insights. Swim ESP is self-training and operates in real-time at the edge, training and learning continually from data streams, on-the-fly.

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    Digital Twins Help Unlock Sensor Data in Industrial Environments

    Posted on Sep 13, 2017 10:27:51 AM by Swim Team in Machine Learning, in Swim Software, in Industrial IOT, in Edge Analytics, in Digital Twin

    Recently, the Swim team posted Key Takeaways from Gartner’s Hype Cycle for Emerging Technologies 2017, which referenced technologies like Edge Computing, Deep Learning, Machine Learning and a few other automation and data-centric technologies that are transforming industrial environments around the world. However, there’s another emerging technology that Gartner included, but we have not mentioned in prior posts which is the concept of the “Digital Twin.”

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