Overview
Explore high-performance machine learning systems for fraud detection in this 18-minute conference talk from Conf42 Python 2025. Learn how to leverage NumPy, PyTorch, and Ray to build effective AI-powered fraud prevention solutions. The presentation covers the critical importance of AI in fraud detection, various implementation approaches, real-time prevention techniques, and practical use cases. Discover a comprehensive implementation roadmap for AI systems, understand the benefits of AI-powered fraud detection, and examine the challenges and considerations when deploying such systems. The talk concludes with insights into the future of AI in fraud detection and provides actionable final thoughts for implementing high-performance ML systems.
Syllabus
00:00 Introduction and Speaker Background
00:10 The Importance of AI in Fraud Detection
01:02 Approaches to AI-Powered Fraud Detection
02:51 Real-Time Fraud Prevention Techniques
04:48 Use Cases of AI in Fraud Prevention
07:35 Implementation Roadmap for AI Systems
09:34 Benefits of AI-Powered Fraud Detection
12:12 Challenges and Considerations
14:34 Future of AI in Fraud Detection
16:44 Conclusion and Final Thoughts
Taught by
Conf42