Jason Tan: Sift Science builds global models across 175 customers
Jason Tan · Jason Tan, Sift Science // Data Driven #26 // April 2014 (Hosted by FirstMark Capital) · May 27, 2014 · at 19:37
Jason Tan, CEO of Sift Science, speaks at Data Driven NYC about how pooling customer data enhances fraud detection capabilities.
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“We build this global model that learns across all of our 175 global customers”
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More from Jason Tan
Tan: Traditional rule-based fraud detection systems do not scale
“So this is the way that things are done, is really building these rule-based systems that do not scale, okay?”
Jason Tan: Email addresses containing digits have higher fraud rates
“If you have numbers in your email address, more likely to be a fraudster.”
Tan: Google generates $55B annually due to its search data lead
“They make fifty-five billion dollars a year, because they have so much data by being the number one search engine.”