Aws 1

Machine Learning Customer Stories

Provided by AWS

Category Security

Type White Paper

Publish Date March 19 2020


Machine learning (ML) is creating better business results across nearly every industry—including financial services. While risk management use cases abound, financial institutions of all sizes are also using ML to enhance document processing, pricing and product recommendations, trading and analytics, and customer experience.

Read these AWS customer stories to discover how:

  • Mastercard’s NuData analyze anonymized user data to detect anomalous activity before a fraudulent transaction occurs, reducing ML development time by 60% and simplifying ML architecture by 95%
  • Coinbase recognize mismatches and anomalies in sources of user identification in order to quickly take action against potential sources of fraud and reduce model training times from 20 hours to 10 minutes

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