On-Demand Webinar

A Practical Guide to Use
AI in AML

 

About the webinar

With the rapid increase of risk, combined with evolving government regulations, financial institutions and the regulatory bodies who govern them are awakening to the potential applications of technology in financial crime prevention. This requires an advanced strategy and identifying the areas where the impact would be higher.

Join our in-depth conversation with SAS Global Analytics Lead- Fraud/ AML, David Burgess, as he takes us through best practices, use cases and next steps in using Artificial Intelligence in the Anti-Money Laundering (AML) space

What you'll learn

  • Which areas in AML can benefit from AI
  • Uses and potential applications of AI in fighting Money Laundering
  • Next Steps on how to adopt AI and what considerations to keep in mind.

Have a SAS profile? To complete this form automatically Sign In

*
*
*
*
 
*
*
*

All personal information will be handled in accordance with the SAS Privacy Statement.

 
  Yes, I would like to opt-in to receive occasional emails from SAS Institute Inc. and its affiliates about SAS products and services.
 
 

About the Experts


David Burgess

Global Analytics Lead, SAS

David has over 15 years of experience in Asia Pacific regional roles, including Ogilvy & Mather, Standard Chartered Bank and DBS, with over 10 years experience leading analytics teams covering Marketing, Credit Risk, and AML / Fraud.

His current role covers the Asia Pacific region, leading sales support and enablement activities and customer facing situations with an emphasis on advanced analytics. David has worked for SAS for over 10 years, time in the Singapore, Mumbai and Wellington offices, supporting clients from Invercargill to Islamabad.

David holds a Masters Degree in Finance, Bachelors degrees in Mathematics and Economics, and a Post-graduate Diploma in Accounting.

 

Register now