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How to leverage Big Data and UML to fight online fraud, spam, and abuse

By Julian Wong April 11, 2018

Photo of Julian Wong

about Julian Wong
Julian is the VP of Customer Success at DataVisor. A proven leader in the realm of trust and safety, Julian developed scalable systems and teams for mitigating fraud and abuse at Indiegogo, Etsy and Upwork. Julian also led Google’s engineering team responsible for building algorithms to prevent fraud on its ad platform.

Peter and Melissa from Speaking in Tech interview Julian Wong, VP of Customer Success at DataVisor (@DataVisor). Together, they discuss the world of online fraud, spam and abuse, and how to use big data and unsupervised machine learning to fight these scourges.

Listen to the podcast here.


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