Engineering Uber Systems to Combat Fraud

#artificialintelligence 

Walk into a conference room on the 16th floor of an Uber Engineering building on Market Street in San Francisco. You enter an intense discussion around a table with software and data engineers, data scientists, modeling experts, and even a product manager. How to determine a fraudulent user. Fraud prevention is one of the fastest growing areas of research and development at Uber. As our platform has grown, so has the international underworld that tries to undermine it.

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