Fraud & Risk

Grow More, Risk Less: A Case Study in How Machine Learning is Revolutionizing Fraud Prevention

Jason Tan - Sift Science; Robbie Fritts - OpenTable

Presentation

Machine learning is playing a larger role in our lives, from digital "assistants" on smart phones to semi-autonomous cruise control systems on some new cars to advanced eCommerce fraud detection systems. In this presentation, OpenTable shares how they used machine learning in conjunction with a new digital gift card offering, enabling their company to help automate more reviews and reduce reliance on manual investigations. Sift Science also discusses how machine learning can help companies overcome several limitations of traditional fraud solutions, such as rules-based approaches, helping companies scale more effectively and adapt to changing risk behaviors. Finally, best practices on using machine learning are presented, along with some caveats.

Note that this presentation is also available as a webinar. To view the webinar, click here.

Grow More, Risk Less: A Case Study in How Machine Learning is Revolutionizing Fraud Prevention

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