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AI-Powered Payment Systems

Talkat Conf42 Large Language Models (LLMs) 2025 · on Thursday, 2025-03-20· [security]
linkedin:arpit-mittal
slides:none on file

AI systems analyze over 1 billion transactions daily using machine learning, device fingerprinting, geolocation mapping and dynamic risk scoring, processing ~200 data points per transaction in under 100 milliseconds. Reported results include a 76% reduction in fraudulent transactions and 92% fewer false positives; a retail case shows 82% fraud decline, $1.8M recovered and 95% fewer false positives; chatbots handle 200,000 daily interactions across 12 languages with 3s response and 89% self‑resolution.

AI-written summary · about

  1. 0:00Introduction and Speaker Background
  2. 0:12Overview of AI in Payment Security
  3. 0:39Customer Expectations and Security Measures
  4. 2:43AI-Driven Fraud Prevention
  5. 4:57Case Studies in Fraud Prevention
  6. 6:23AI-Powered Personalization
  7. 8:09AI Chatbots in Customer Support
  8. 10:41Future of Payment Security and Personalization
  9. 12:43Conclusion and Key Takeaways
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