How graph technology can map patterns to mitigate money-laundering risk
Money laundering is a growing problem. Criminals are getting more sophisticated, making eradicating this issue ever-more complex and challenging. But graph technology has the power to mine the truth from data to help you quickly pinpoint potential areas of concern, explains Neo4j’s Emil Eifrem.
Read more: https://www.sciencedirect.com/science/article/pii/S1361372319301058
Keywords: anti-money laundering • money laundering • money laundering compliance