More than one trillion U.S. dollars are estimated to be involved in worldwide acts of bribery and political corruption each year. These crimes impede developing nations from achieving stability, recovering from disasters and realizing measurable growth by siphoning off foreign aid and stealing national revenue. In recent years, the United States government has dramatically intensified its efforts to enforce the provisions of the Foreign Corrupt Practices Act (FCPA). Nearly $2.5 billion in penalties were assessed in 2016, making it the biggest enforcement year in FCPA history. Modern technologies and advancements in data science such as artificial intelligence (AI) and machine learning are well suited to solve this problem.
A new report by Aite-Novarica (Aite) examines what’s driving transformation in anti-money laundering (AML) compliance. Specifically, the impact report examines the current AML ecosystem, key trends impacting financial institutions (FIs) and their AML compliance functions, and how they invest in technology and innovation to tackle today’s ever-evolving risk landscape.
As AI makes it possible for anti-money laundering (AML) processes to become increasingly automated, efficient, and effective, rules-based transaction monitoring systems (TMS) are being supplemented with these solutions to drive down false positives, streamline...
With an eye on what’s next for AML, we recently connected with Ken Harvey, former COO/CIO of HSBC Holdings, who outlined eight technology megatrends that are impacting AML compliance. We also look at how AML compliance technology is being developed, advanced, and...