AWS – Amazon SageMaker Autopilot adds support for time series data

Amazon SageMaker Autopilot automatically builds, trains, and tunes the best machine learning models based on your data, while allowing you to maintain full control and visibility. Starting today, SageMaker Autopilot supports time series data. You can now use SageMaker Autopilot to build machine learning models for regression and classification problems for time series data or any sequence data, enabling scenarios such as supervised anomaly detection, risk assessment or fault prediction based on a sequence of datapoints. For example, you can now build models to identify and classify anomalous network traffic recorded over time, or identifying faulty devices based on emitted metrics.

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