Amazon SageMaker AI now integrates with open source Evidently to monitor discriminative ML models. This solution helps maintain prediction accuracy by generating monitoring reports and detecting data drift. It also organizes results in MLflow and supports scalable pipelines with automated notifications.
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Implementing a data and model monitoring solution is necessary to maintain prediction accuracy and help achieve the best outcome for your machine learning use case.
The effectiveness and accuracy of machine learning (ML) models decreases almost as soon as the training job finishes.