DataVisor Tech Talk

Information Session: External Relations Group: EE: CS: Data Science | January 30 | 6-7:30 p.m. | Soda Hall, Wozniak Lounge (430)

 Electrical Engineering and Computer Sciences (EECS)

As the world transforms to digital, every day activities are open to fraud attacks. In this talk, we will explain how DataVisor is able to pioneer Unsupervised Machine Learning and Big Data computational techniques at scale to save companies millions a year and keep their communities safe. With its patented algorithm and an intelligence network of more than 4.2B user accounts globally, Datavisor protects
businesses against financial & reputational damage caused by fake user accounts & account takeovers, promotional abuse, scams, & fraudulent transactions.

Learn more at: hkn.mu/datavisor2020

Dr. Yongxin Xi obtained her Ph.D. in machine learning from Princeton University in 2011 and has been an anti-spam and anti-fraud specialist ever since. Passionate about the mission to make the online world a safer place, she currently leads DataVisor's U.S. trial team in building cutting-edge models to catch fraud quickly and accurately.

 xrg@eecs.berkeley.edu