Intelligence Center
/
Webinars

Unsupervised Machine Learning is Essential for Fraud Detection

During this webinar, Fang Yu, DataVisor’s Chief Product Officer and Co-founder, will examine a variety of topics including:

  • Why machine learning is essential for fraud detection
  • What are the latest trends in machine learning and how they’re used
  • When should you use unsupervised versus supervised machine learning

Meet the Speakers

Fang Yu

Co-Founder and Chief Product Officer
, 
DataVisor

An accomplished researcher, author, and conference contributor, Fang Yu is widely-regarded as one of the most influential figures in the fields of artificial intelligence, machine learning, and big data security. Fang currently holds over 20 patents.

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.