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Server and Edge AI for Tackling IIoT Data Glut

Altaf Khan - Watch Now!

This talk will be followed by a Live Q&A Discussion on Zoom.

Cloud-based IIoT servers are receiving too much data, far too frequently, from an increasing number of edge devices. We present a complementary pair of AI solutions for reducing the data sent from the sensor and for efficiently processing it when it reaches the cloud server. The AI deployed at the sensor intelligently extracts insights from raw data with the help of inexpensive microcontrollers while operating on µWs of battery power. The server-side AI translates the insights received from a multitude of edge devices into decisions rapidly while employing a minimum of resources. The result is a low-latency, high-throughput cloud-based IIoT system.
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Doini
Score: 0 | 8 months ago | 1 reply

Thank you for the presentation!

AltafSpeaker
Score: 0 | 8 months ago | no reply

Welcome! Let me know in case you have any questions.

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