Finance was one of the earliest industries to adopt machine learning, because so much of the work is about spotting patterns in numbers.
Stopping fraud as it happens
Every card payment or UPI transfer can be scored in milliseconds. If a transaction looks unusual for that customer, such as a new device, an odd location or a sudden large amount, the system can pause it and ask for confirmation.
Other common uses
- Credit decisions that consider more signals than a single score.
- Customer service assistants that answer routine questions at any hour.
- Compliance checks that scan documents and transactions for red flags.
- Forecasting cash flow, demand and market risk.
Fairness and explainability
When AI influences who gets a loan, people deserve to know why. Financial firms increasingly choose models that can explain their reasoning and test them regularly for unfair bias.
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