We are excited to announce event dataset storage for Amazon Fraud Detector. The new capability enables customers to easily send and store their production fraud data directly within Amazon Fraud Detector. Customers can use their event datasets to train machine learning (ML) models with higher predictive performance since the models can apply historical context to new events by automatically calculating values such as account age and purchase frequency. Customers can also move faster by retraining models without needing to upload a new training dataset to S3, and they can close the feedback loop from offline fraud investigations by updating their fraud labels for stored events.
Source:: Amazon AWS