As a featured speaker at the Microsoft Startup Showcase, DataVisor Co-Founder and CEO Yinglian Xie discusses the growing scale and sophistication of online fraud and abuse, and describes how unsupervised machine learning is uniquely capable of fighting it at scale. In her presentation, Yinglian also discusses how she met her Co-Founder Fang Yu at Microsoft, and chronicles the ongoing growth of online fraud and abuse. Finally, she offers insights into how DataVisor’s unsupervised machine learning engine can detect coordinated, sophisticated attacks where other methods fail. To learn more about DataVisor’s approach, please visit our Technology page. View posts by tags: online fraud Unsupervised Machine Learning yinglian xie Related Content: Threat Blogs React, or Prevent? Why Organizations Must Embrace A Proactive Approach To Fraud Management Threat Blogs 3 Tips for Adopting a Fraud Prevention Approach for the Long Term Threat Blogs Defeating Mass Registration with Unsupervised Machine Learning about Christopher Watkins Christopher Watkins is Senior Creative Writer at DataVisor. He brings 15+ years of writing, editing, and strategy experience to his role. He was previously Senior Writer and Chief Words Officer at Udacity. He holds an MFA in Creative Writing from the University of Southern Maine. about Christopher Watkins Christopher Watkins is Senior Creative Writer at DataVisor. He brings 15+ years of writing, editing, and strategy experience to his role. He was previously Senior Writer and Chief Words Officer at Udacity. He holds an MFA in Creative Writing from the University of Southern Maine. View posts by tags: online fraud Unsupervised Machine Learning yinglian xie Related Content: Threat Blogs React, or Prevent? Why Organizations Must Embrace A Proactive Approach To Fraud Management Threat Blogs 3 Tips for Adopting a Fraud Prevention Approach for the Long Term Threat Blogs Defeating Mass Registration with Unsupervised Machine Learning