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How UML Detects Fraud and Abuse in the Digital Era: Yinglian Xie at the Microsoft Startup Showcase

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.

By Christopher Watkins June 28, 2018

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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.


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.


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