September 6, 2017
Today’s financial institutions are grappling with high volumes of customer, transactional and other internal data sets. If intelligently analyzed, these vast stores of data can prove invaluable to institutions by helping them uncover financial crimes risk.
However, leveraging new advancements in data science, including artificial intelligence (AI), machine learning and big data management, offers the promise to choke off money laundering while creating operational efficiencies and improving how these crimes are detected. Today’s AI systems are capable of analyzing large volumes of transactional and other data sources, and providing consolidated case files to human investigators for more accurate SAR-filing determinations.