On-Demand Webinar

Making Next-Gen AML a Reality With AI and Machine Learning

AI and machine learning have the ability to transform your AML programs, but only if you select a vendor with proven implementation capability. Join us for this webinar to learn how SAS expertly delivers next-gen AML.

About the webinar

Financial institutions and regulators understand the immense value that AI and machine learning can bring to their AML programs.

Vendors everywhere promise to help firms combat money laundering with these advanced capabilities, but in actuality, only a handful of AML vendors have true AI and machine learning implementation expertise to make next-gen AML a reality for any organization.

SAS has a proven track record in helping financial institutions implement AI-based models to enhance detection accuracy, reduce false positives and significantly increase investigation efficiency, while lowering compliance costs.

In this webinar, you’ll hear from SAS experts as they share their AML implementation experiences, challenges and lessons learned.

Find out:

  • What your road map to next-gen AML should look like.
  • Points to consider before implementing AI models.
  • Key lessons learned from AI implementations for AML.

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About the Experts


Christopher Ghenne
Global Lead for Banking Compliance Solutions, SAS

Christopher Ghenne has more than 15 years of experience in combating anti-money laundering. As part of the Global Security and Intelligence Division in the SAS Brussels office, he leads a global team of AML subject-matter experts. He is responsible for all SAS compliance solutions and for training and supporting SAS pre-sales teams worldwide. He holds a master's degree in economics from the University of Brussels and has been accredited as a Certified Anti-Money Laundering Specialist (CAMS) since 2009.  


Beth Herron
Americas Team Lead, Fraud and Security Intelligence Division, SAS

Beth Herron is responsible for providing domain expertise in the development, enablement and implementation of Anti-Money Laundering solutions worldwide at SAS. Herron leads a team of subject matter experts who support tier 1 and 2 financial institutions with AML, CDD, and CTR analytic solutions. Prior to joining SAS, she worked within the financial intelligence unit of a top 5 global financial institution. Her experience includes the strategy and transformation of customer risk assessment, fraud and AML system integration, and data management.

Herron holds a master’s degree in industrial organizational psychology. She is accredited as a Certified Anti-Money Laundering Specialist (CAMS) and currently serves on the ACAMS Carolinas Chapter Board.
 


Amith Satheesh
Principal Solutions Architect for Fraud and Security Intelligence Solutions, SAS

Amith Satheesh is a financial crimes domain consultant who uses advanced analytics and industry best practices to optimize AML behavior monitoring and associate conduct risk. He was previously a director for a top US bank on the wholesale banking financial crimes analytics team, where he spearheaded the rollout of a front-line monitoring program.

Satheesh also worked at a top risk advisory firm helping clients in scenario development and optimization, AML model validation, false-positive reduction, AML program remediation, AML lookbacks, sanctions screening optimization, trade-based money laundering and brokerage surveillance. He is a Certified Anti-Money Laundering Specialist (CAMS) and has more than 19 years of experience in the financial services industry.
 


Stephen DeParis
Managing Director, Financial Crimes, KPMG

Stephen DeParis is a managing director in the New York office of KPMG’s Financial Crimes and Analytics practice. He is a decisive and process-focused leader providing strategic direction and unique solutions in many of the areas of financial crime compliance, including anti-money laundering, sanctions, know your customer (KYC), fraud, and market manipulation.

Within financial crime compliance, DeParis has experience using machine learning, data mining and robotic automation to solve complex problems within a challenging regulatory environment.

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