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The Industrial Internet Learns to Get Smarter: IIC Testbed AI Results Are In

December 04, 2018 / Cynthia S. Artin

This week, the Industrial Internet Consortium shared the results of a testbed application designed by member participants Dell EMC and Toshiba to explore deep learning through neural networks within an IoT platform to optimize asset utilization in an office building. The Deep Learning Facility Testbed, located in a Toshiba facility in Kawasaki, Japan, analyzes an impressive 35,000 measured data points per minute, with the scale and reach required to prove in a real-life scenario that AI-enriched IoT implementations make a measurable difference in how efficiently physical facilities can be managed and maintained. Given the amount of data collected, the testbed “relies on artificial intelligence to detect anomalies in order to improve the visitor experience with things like prioritized elevator scheduling and automated temperature and lighting controls.” The structure of buildings varies and it’s very costly to design an anomaly detection system to fit the building, the...