IRIS provides a real-time fraud analytics engine that leverages machine learning to generate rapid anti-fraud models while also supporting the creation and modification of ad-hoc models, proven successful on various sized payment platforms. Acting as a “virtual analyst” to help identify new fraud patterns, IRIS applies machine learning models to help analysts detect fraud and act quickly to help reduce fraudulent events. IRIS serves to bridge the gap between expert-driven rules and traditional predictive modeling by applying artificial intelligence and cognitive techniques to partner with human experts in suggesting best fit analytics interactively, while testing and deploying models with real production data, as it happens and without downtime.
Full Article: http://www-03.ibm.com/press/us/en/pressrelease/48788.wss
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