In this webinar, we will discuss how modern technology uses the artificial intelligence capability of machine learning to streamline the overwhelming tasks of data identification and analysis in an anti-money laundering program.
Detecting and preventing money laundering is one of the most daunting compliance tasks financial institutions and purveyors of luxury goods and high end real estate face. The complexity and volume of data that must be gathered and analyzed presents real challenges that can now be addressed through the application of artificial intelligence and particularly machine learning.
While you may be hearing a lot about AI and machine learning, do you really know what that means? Are you wondering how these new technological capabilities can help you manage AML programs? Are you concerned about what risk they may create?
In this webinar we will address all of these questions and provide examples of how to use machine learning at each stage of the AML process.
- Understand the terminology of and around machine learning
- Identify the AML challenges that can be addressed by modern technology
- Apply machine learning to different stages of AML programs
- Consider risks of machine learning and how to manage them
Robyn Todd, Senior Project Manager, encompass
Kevin Bogdanov, Director, Market Development Customer and Third Party Risk Management, Refinitiv
Moderator: Carole Switzer, Co-Founder and President, OCEG
This event is sponsored by Encompass and Refinitiv, OCEG GRC Solutions Council Members.
By registering for this event, you are agreeing that the sponsors of the event will receive your registration information. Please review the sponsors' privacy policies here: https://www.encompasscorporation.com/privacy-statement/ and https://www.refinitiv.com/en/policies/privacy-statement
CPE Credit Notice
This is a group internet-based event for NASBA authorized continuing education credit. OCEG webinars are free for anyone to attend, but only Attendees who have an OCEG All Access Pass will receive a Certificate of Completion for the webinar indicating 1 hour of CPE credit.
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