AI Engineer - Learn how to integrate AI into software applications
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Overview
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Explore how artificial intelligence is revolutionizing fraud detection in this 12-minute conference talk by Vinod Upputuri at Conf42 DevOps 2025. Begin with an introduction to financial fraud fundamentals before diving into various AI applications including supervised learning, unsupervised learning, and deep neural networks for fraud detection. Learn about cutting-edge technologies like real-time prevention systems, behavioral biometrics, device fingerprinting, and synthetic identity detection. Discover how natural language processing helps combat phishing attacks, followed by practical implementation strategies for AI-based fraud detection systems. The talk concludes with results from real-world implementations and a forward-looking perspective on the future of AI in fraud prevention.
Syllabus
00:00 Introduction and Speaker Background
00:12 Understanding Financial Fraud
01:54 AI in Fraud Detection
02:10 Supervised Learning in Fraud Detection
03:16 Unsupervised Learning in Fraud Detection
04:11 Deep Neural Networks in Fraud Detection
05:16 Real-Time Fraud Prevention Systems
06:23 Behavioral Biometrics and Device Fingerprints
07:32 Synthetic Identity Detection
08:53 Natural Language Processing in Phishing Detection
09:59 Implementation of AI in Fraud Detection
11:02 Results and Future Outlook
11:44 Conclusion
Taught by
Conf42