How Machine Learning Helps With Fraud Detection
Fraud detection with machine learning requires large datasets to train a model, weighted variables, and human review only as a last defense.
Gerry Carr is CMO of Ravelin, which provides fraud protection for online businesses using machine learning, artificial intelligence, graph networks, and behavioral analytics. Ravelin was recently named in the FinTech 50, a list of the 50 hottest fintech companies in Europe. Prior to Ravelin, Gerry led product marketing for products as diverse as Ubuntu and Sage CRM. Gerry loves to snowboard and compete in Ironman contests when time allows.
Fraud detection with machine learning requires large datasets to train a model, weighted variables, and human review only as a last defense.
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