Machine Learning customer stories: Mastercard’s NuData and Coinbase
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 customer stories to discover how Amazon SageMaker helps:
- 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