Using Data and Decision Intelligence to Combat Mules and Fraud

In today’s data-rich and complex landscape a versatile and composite approach to combating mules and scams is more crucial than ever, especially with an impending liability shift in the United States akin to that in the United Kingdom. This session will delve into decision intelligence and its application across diverse data sets to identify and prevent mules and fraud within organizations. We will explore the power of composite AI, highlighting how entity resolution and the integration of artificial intelligence, machine learning and human expertise can create a formidable defense against these threats. By leveraging these advanced technologies organizations can build a robust and proactive strategy to safeguard against mules and fraud. Additionally, we will discuss real-world case studies and best practices providing actionable insights that can be implemented immediately. This comprehensive approach ensures that organizations are not only reactive but also proactive in their efforts to combat fraud staying ahead of potential threats and minimizing risks effectively.