Augmenting Your Existing AML System with AI
Featured Speakers :
Rodolfo’s career spans over 10 years in product management. Prior to joining Feedzai, Rodolfo held roles in companies such as Siemens and Impresa Media Group, in which he led several teams and developed big data and data science projects from scratch. As a Product Director, Rodolfo spearheads some of the most innovative projects at Feedzai.
Brian Ferro is responsible for managing the direction of the AML Trans Mon solution at Feedzai. In this role, Brian works with traditional and non-traditional financial institutions around the globe to meet the ever-changing market needs and demands by partnering with Research and Development teams to deliver industry best solutions and practices. Prior to joining Feedzai, he spent eight years in a similar role with other vendors and 15 years in Financial Crimes Investigations and Compliance with one of the world’s leading financial institutions where he managed a Special Investigations Unit (SIU) that coordinated investigations and projects with law enforcement agencies. He’s accredited as a Certified Anti-Money Laundering Specialist (CAMS) and is a Certified Associate in Anti Money Laundering (FIBA) by exhibiting extensive knowledge of compliance guidelines and federal regulations.
Complimentary webinar, presented by Feedzai
Anti-money laundering teams spend countless hours manually reviewing and dispositioning large volumes of alerts fraught with false positives or maintaining clunky, rules-based legacy systems. It’s an inefficient use of resources that are already spread thin from being pulled in multiple directions. Whatsmore, legacy rules-based systems do little to prepare an organization for new money-laundering typologies or industry disruptions.
Yet, the hurdles to implementing new transaction monitoring systems and anti-money-laundering platforms post an insurmountable burden for many financial institutions (FIs). The good news is FIs don’t need to get rid of legacy systems; they can augment them with machine learning to see benefits.
Register for this live discussion to learn how to:
- increase operational capacity and reduce time spent investigating non-productive alerts while freeing up time to spend on valuable alerts
- reduce maintenance overload by automating AML with intelligent, explainable artificial intelligence
- keep FIs relevant and prepared for both opportunities and disruptio
- augment legacy systems to include system integration, workflow updates, and ensure data integrity