Machine Learning for Fraud Detection
Discover how machine learning has revolutionized fraud prevention in banking by enabling accurate detection and swift action. In this webinar, Jeremy Chen, Sr. Director of Product Management at DataVisor, demystifies how machine learning empowers banks and credit unions. You’ll learn:
- The difference between unsupervised machine learning (UML) and supervised machine learning (SML)
- How machine learning empowers you to unlock powerful insights, automate fraud detection processes, and identify hidden fraud patterns.
- Guidance on choosing the right type of machine learning approach within banking




Meet the Speakers

Jeremy Chan
About DataVisor
DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
DataVisor is the world’s leading fraud and risk management platform that enables organizations to respond to fast-evolving fraud attacks and mitigate risks as they happen in real time. Its comprehensive solution suite combines patented machine learning technology with native device intelligence and a powerful decision engine to provide protection for the entire customer lifecycle across industries and use cases.

