Panel: Impact of AI and Machine Learning on Financial Crime Investigation

Financial regulators and law enforcement agencies were already stretched thin investigating huge volumes of suspicious activity reports filed annually by financial institutions. This problem has become incredibly hard with the rising number of cybercrimes and cryptocurrency crimes, as well as the need to monitor and enforce new Russian sanctions that are historically unprecedented in scale and scope. 

Government agencies are struggling to cope not only due to an acute shortage of skilled manpower, but also because there are no predefined rules on how to detect bad actors in these new and emerging situations. The only solution is to fully leverage AI and machine learning to help prioritize the investigations, detect new criminal behaviors – identify the unknown unknowns – and eliminate false positives to avoid wasting limited agency resources.

Register for our webinar to learn more about:

• Current challenges facing financial regulators and law enforcement agencies
• Discovering the unknown unknowns in large volumes of financial data
• Using AI and machine learning to recognize and track criminal behaviors
• And, more!

Register Here:

Zoom for Government enables ATARC remote collaboration opportunities through its cloud platform for video and audio conferencing, chats and webinars across all devices. Allowing for individuals from all areas of government, industry and academia to communicate directly. 

*** ATARC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org. Program Level: Overview, no prerequisites required. Advance preparation: none. Delivery Method: Group Internet Based. Field of Study: Information Technology. Registration #140762. In accordance with the standards of the National Registry of CPE Sponsors, CPE credits have been granted based on a 50-minute hour. Refund, cancellation and complaint resolution policy.