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  • Fintech
Machine Learning in Fintech
Fintech is using machine learning to increase top and bottom line through gaining competitive advantages, reducing expenses, and improving efficiencies. They are optimizing all areas of their business from risk analysis and portfolio optimization to marketing, in order to make data-driven decisions that lead to increased profitability.

Use cases in Fintech

Credit Card Fraudulent Transactions

The cost of credit card fraud is billions of dollars per year. By accurately predicting which transactions are likely fraudulent, banks can significantly reduce these illegal transactions while providing card holders an excellent customer experience.

See the use case

Credit Default Rates

Individuals or businesses often need loans. Making accurate judgments on the likelihood of default is the difference between a successful and unsuccessful loan portfolio.

See the use case

Digital Wealth Management

See the use case

Who Is DataRobot?
We are the leader in enterprise AI, delivering trusted AI technology and ROI enablement services to global enterprises and individual users.
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