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This video is part of the appearance, “Intel Presents Analytics Zoo at AI Field Day 1“. It was recorded as part of AI Field Day 1 at 14:00-16:00 on November 19, 2020.
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Jason Dai, Senior Principal Engineer, gives a deeper technical overview of Intel’s Analytics Zoo, an open source software platform for big data AI. Analytics Zoo uses distributed TensorFlow/PyTorch on Apache Spark, and Dai discusses how it is used in network quality prediction by SK Telecom. Next he focuses on RayOnSpark to run Ray programs directly on the big data platform, giving the example of Burger King’s fast food recommendation engine which leverages an end-to-end training pipeline with RayOnSpark. Turning to the ML workflow question, Dai discusses how a scalable AutoML allows time series prediction, using the example of Tencent Cloud’s TI-One ML platform. Finally, Dai presents the Zouwu open source time series framework on Analytics Zoo.
Personnel: Jason Dai