MIT Sloan: Lead AI Adoption Across Your Organization — Not Just Pilot It
Python, Prompt Engineering, Data Science — Build the Skills Employers Want Now
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Learn to build and deploy real-time fraud detection systems at scale in this 25-minute conference talk from Conf42 ML 2025. Explore the critical challenge of fake reviews and discover how to construct scalable detection systems that can handle high-volume, real-time data processing. Master a hybrid detection approach that combines multiple techniques for maximum effectiveness, and understand how to measure performance through key metrics that demonstrate system reliability. Examine coordinated fraud campaigns and their detection patterns, while addressing crucial privacy and data protection considerations in fraud detection implementations. Gain insights into scalability challenges and real-world deployment strategies that ensure your system can handle production-level traffic. Understand how to build flexible, future-proof systems that can adapt to evolving fraud patterns and techniques. Conclude with essential takeaways for implementing robust fraud detection solutions in enterprise environments.
Syllabus
00:00 Introduction to Real-Time Fraud Detection
00:56 The Challenge of Fake Reviews
02:31 Building a Scalable Detection System
03:58 Hybrid Detection Approach
09:22 Performance Metrics and Effectiveness
11:27 Coordinated Fraud Campaigns
13:22 Privacy and Data Protection
15:14 Scalability and Real-World Deployment
18:01 System Flexibility and Future-Proofing
21:56 Key Takeaways and Conclusion
Taught by
Conf42