Grow More, Risk Less

A Case-Study in How Machine Learning is Revolutioning Fraud Prevention

Incorporating machine learning into fraud detection enables businesses of all sizes to grow revenue with less risk. They’re able to make faster, more accurate decisions, operate more efficiently, and save money by reducing their reliance on manual review. In this live webinar hosted by Sift Science CEO Jason Tan, get a practical overview of how machine learning technology is revolutionizing fraud prevention. Robbie Fritts, OpenTable’s Manager of Risk & Fraud, will dive into real-life examples of how OpenTable leverages machine learning to take the risk out of real-time commerce.

In this webinar, you'll learn:

  • Automate fraud detection and get instant decisions
  • Prevent fast fraud of real-time digital goods
  • Improve the customer experience by removing friction

Jason Tan Co-Founder & CEO, Sift Science

Jason Tan is the Co-Founder and CEO of Sift Science, a San Francisco technology company that fights online fraud with large-scale machine learning. He previously served as CTO of BuzzLabs, a machine learning startup acquired by InterActiveCorp. Prior to that, he was an early engineer at two Seattle startups, Zillow and Optify. Jason graduated magna cum laude from the University of Washington in 2006 with a Computer Engineering degree.