Machine Learning and AI at the IoT Edge
Machine analytics are moving down from the cloud and onto the devices on machine itself.
As the world of internet devices expands, many devices are being created to process data on their own. These intelligent IoT devices do more than simply collect and mindlessly deliver data. Many are able to process data on the spot rather than send it to the cloud for analysis. Whether in industry, aerospace, or even in your car, IoT devices are beginning to effectively analyze diverse sets of data to produce value in real-time – at the edge.
If these smart devices can be deployed to identify maintenance issues before they occur, plants can improve their operations considerably. If the data from the plant equipment have to be sent to the cloud for analytics, it slows the ability to act before disruption occurs. An intelligent device can potentially process enough data on the spot to alert the control team that anomalies are occurring.
“Let’s take a system and learn what it’s doing, identify what’s going on, and pick up anomalies. You can compare this machine to what other machines are doing. You can compare its firmware to other firmware and apply what you’ve learned. You can create models from the cloud and push them down to the edge?” - John Crupi, VP and engineering system architect at Greenwave Systems
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