Intelligence Center
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Webinars

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

Sr. Director of Product Management
, 
DataVisor

About DataVisor

DataVisor is the AI-native real-time decisioning engine for fraud and financial crime prevention.
As AI transforms both fraud attacks and fraud defense, DataVisor helps financial institutions, payment providers, and digital businesses detect, investigate, and stop sophisticated and previously unseen threats in milliseconds across billions of transactions. Combining adaptive machine intelligence, consortium intelligence, and emerging agentic AI capabilities, DataVisor enables organizations to modernize fraud operations, improve customer experience, and stay ahead of rapidly evolving financial crime. DataVisor is trusted by leading financial institutions, payment innovators, Fortune 500 enterprises, and digital businesses worldwide.