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Build a real time air quality anomaly detector using AWS Lookout For Metrics

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 the impact on business outcomes, including employee productivity and consumer footfall.