FREE! Advanced Tech
FREE! Advanced Tech
Using the Latest Machine Learning and AI for Greater Efficiency in Sanctions Screening
Date: Tuesday, September 25, 2018
Time: 12:00 PM – 01:15 PM EST | 05:00 PM – 06:00 PM London
06:00 PM – 07:00 PM Amsterdam
As has always been the aim of SanctionsAlert.com, we wish to not only provide the best training and development for sanctions professionals, but to arm sanction professionals with the know-how needed to carry out their daily duties with the upmost efficiency and effectiveness. To that end, SanctionsAlert.com has created the Sanctions Technology Taskforce (STTF).
In addition to providing various useful resources to the compliance community, STTF members conduct regular Technology Webinars to keep the sanctions community abreast of all the latest developments in sanctions technology.
In this SanctionsAlert.com STTF webinar, our sanctions technology experts will discuss the growing trend of using Machine Learning (ML) and Artificial Intelligence (AI) as part of your compliance duties and how to incorporate ML and AI into your company’s daily processes.
Our experts will discuss:
- the definition of ML and AI;
- How ML and AI are being used for sanctions screening;
- What the differences are between financial institutions and corporations wanting to leverage ML and AI for sanctions screening;
- How to revise your policies and procedures to incorporate ML and AI; and
- What the processes and strategies are to implement ML and AI.
Sign up today! Tell your friends, clients, customers and colleagues about it.
NoMoneylaundering webinars conduct audience polls that will give you vital benchmarking data so you can measure your anti-money laundering compliance against others.
Registered attendees will receive a Certificate of Attendance to demonstrate required AML training to auditors, and regulators.
Director, Financial Crime Compliance
Jennifer McEntire is responsible for defining the commercial strategy for the Financial Crime Compliance Suite of Products at LexisNexis Risk Solutions. They deliver comprehensiveFinancial Crime Compliance data and technology solutions, designed to help organizations effectively comply with BSA, AML, Economic Sanctions, and Anti-Bribery and Corruption regulations.Jennifer joined LexisNexis Risk Solutions in 2015.
Prior to joining LexisNexis Risk Solutions, Jennifer worked for 10 years in the financial sector and was responsible for the development, implementation, and management of compliance and fraud operations departments at various financial institutions. She is a Certified Anti-Money Laundering Specialist (CAMS) and serves as Co-Chair on the ACAMS Central Florida Chapter Board of Directors. She received a bachelor’s degree in Finance from Weber State University and an MBA from the University of Utah.
Joe Murray is a Principal Scientist at FICO Analytics (San Diego) and joined FICO in 2009. He currently leads the development of new products for AML using advanced machine learning, with the goal of reducing illicit money flows and easing bank’s compliance costs. He has developed predictive models for clients worldwide, with applications in retail banking, fraud prevention and mobile device security. He received his PhD in Electrical Engineering from the University of California, San Diego, and postdoc at MIT’s Brain and Cognitive Sciences, focusing on machine learning and neural networks.