
The Future of Financial Crime Analytics
Discover how emerging technologies like Decision Intelligence are revolutionizing financial crime analytics and shaping the future of BSA compliance.

Chris brings 40 years of expertise in implementing advanced entity-based analytics, knowledge representation, and intelligent systems, employing advanced visualization and link analysis. A leading authority in fraud detection, anti-money laundering, and counterterrorism, he pioneered techniques for data harmonization, entity resolution, and complex analytical visualizations. His extensive work includes collaborations with domestic agencies like the NYPD, FBI, IRS, DEA, and FinCEN, as well as international entities across 40 countries. He architected the SWBAMLA TRAC for analyzing MSB transfers.

Discover how emerging technologies like Decision Intelligence are revolutionizing financial crime analytics and shaping the future of BSA compliance.

Establishing a complete picture of who is making illicit transactions is critical to stemming the tide of money laundering. This is why supplementing BSA data with third-party data is so important.

Investigators are using advanced analytics and its ability to prioritize high-risk cases and bridge the gap between raw data and actionable intelligence to allow financial institutions and government agencies to proactively detect these threats.
Cyber criminals have become expert at hiding their tracks, making it difficult for authorities to identify the origins of illicit funds. Entity Resolution allows investigators to visualize entire networks to identify who the criminals are.