Sift Science Is Fighting Online Fraud With Machine Learning

CEO Jason Tan tells PCMag how how he believes pattern recognition and machine intelligence can combat fraud. Online fraud is a perpetually growing problem for retailers, financial institutions, and consumers in general, but Sift Science believes it has the solution, thanks to pattern recognition and machine intelligence. Incubated at Y Combinator, Sift Science launched in 2011. CEO Jason Tan was just 25, but already had experience at Seattle start-ups such as Zillow, Optify, and Buzzlabs, where he was CTO when it was acquired by IAC. “We wanted to find a problem to solve and we knew machine learning was the future so we wanted to apply that,” Tan told PCMag about the origins of Sift. “We asked friends at other tech companies about the problems they faced [but] didn’t have…


Link to Full Article: Sift Science Is Fighting Online Fraud With Machine Learning