The use of AI/ML to detect anomalies in the data involves a lot of complexity in ingesting, curating, and preparing data in the right format and then optimizing and maintaining the effectiveness of these ML models over long periods of time. In this session, we share how to build an automated air quality anomaly detector with Amazon Lookout for Metrics, Amazon Kinesis and Amazon Simple Notification Service (Amazon SNS). Learn how to manage the complexities in detecting anomalies, enabling organizations to quickly act on the data to reduce impact on business outcomes including employee productivity and consumer footfall.
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Amazon is the world’s biggest corporate buyer of renewable energy and needs to ensure sustainability is at the heart of all of its operations in order to meet its carbon emission targets. An area it i
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Over the past decade, NVIDIA has been able to illustrate the effectiveness of its GPUs across the board for both deep learning training and inference. As these models become larger, the inherent need
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