Analytics at the Edge: Real-Time Results in the Industrial IoT

N/A | October 26, 2017

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Deriving value from the Industrial Internet of Things (IIoT) has traditionally relied on collecting data generated by connected devices and then aggregating it in a centralized, cloudbased system for batch analysis. Not only does this cloud-based architecture for analytics cost a lot, due to the infrastructure required to support it, but it’s not agile, and the tools and techniques can’t scale easily to handle the increasing data volume and velocity.

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OTHER ARTICLES

IoT Adoption: Before and After COVID-19

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