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Machine learning and AI in FinTech

FinTech is using machine learning and AI 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.

As a relatively new financial system, blockchain is particularly vulnerable to security threats. Build and deploy machine learning algorithms that can detect anomalous behaviour anywhere along the chain.

Digital Wealth Management

Use the power of AI to reach and engage new clients, matching the right customer with the right product.

Detect Fraudulent Credit Card 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.

Predict Likelihood of Loan Default and Credit Default Rates

Making accurate judgments on the likelihood of default is the difference between a successful and unsuccessful loan portfolio. Reduce defaults and minimize risk by predicting the likelihood that a borrower will not repay their loan.

Explore More Use Cases