Case Study: Amazon Web Services & Fraud.net

By Whitney Anderson

Fraud.net was featured on the Amazon Web Services

Using Amazon Machine Learning, Fraud.net can quickly create and train a number of specific, targeted machine learning models, rather than building a single algorithm to try and capture all the different forms of fraud.  We are able to build and retrain models in almost half the time it took on other platforms we tested.
AWS Amazon Web Services Case Study

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