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AI in Fintech
Most fintech companies have managed to gain market share because they have successfully automated and modernised traditional processes that established financial institutions were slower to enact. By leveraging machine learning, entrepreneurial fintech firms are gaining competitive advantages and disrupting the status quo. TurinTech empowers fintech companies to build accurate AI at scale, with minimum effort, and thrive in critical sectors such as lending, security, payments system and compliance.
USE CASES
Top AI use cases in Fintech
Fintech firms are using AI to combat fraud, gain hidden customer insight, supercharge data security and personalise customer experience.
Payments
- Automate transaction classification for deeper customer insights
- Reduce risk of customer loan fault detection with accurate predictions
- Predict credit card defaults to prevent losses
Security
- Detect transactional fraud faster with minimum false alerts
- Better user access control to ensure data security
- Classify money laundering risk quicker, with better accuracy
Customer Experience
- Identify product co-selling opportunities to increase revenue
- Customer segmentation for hyper-targeted messaging
- Predict customer churn and recommend effective retention initiatives
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