Webinar: 5 Ways to Enhance Your KYC Program Using Machine Learning 

Presented by Aidar Orunkhanov - Solutions Director at Tamr

About this Webinar:

Customer Identification Program and Customer Due Diligence requirements were rolled out years ago with two primary goals:

  1. Enable financial institutions to know the true identities of their customers
  2. Help the Government combat terror funding and money laundering

In order to operate in the modern world, financial institutions must find new innovative approaches to combat money laundering and other illicit activities. This webinar will outline how enterprises can improve compliance and reduce risk by using machine learning in their KYC (Know Your Customer) process.

Based on his experience leading audit, regulatory and compliance analytics enablement efforts for a global bank, Aidar Orunkhanov, Solutions Director at Tamr, will cover 5 key areas of the KYC process that can benefit from machine learning.

Watch this webinar to learn how to help your organization improve compliance and reduce risk.

Watch now

Understanding-Correlation-Image

During this webinar, you'll learn about:

  • The business value of solving data problems in KYC and AML
  • How a leading bank leveraged machine learning to accelerate implementation of the company’s customer mastering / KYC project
  • Key steps needed to harness the power of machine learning to unleash the potential of the data at your organization

About the Speaker:

Aidar Orunkhanov is responsible for researching and delivering new solutions within Banking and Financial Services and was recently selected as one of The Institute of Internal Auditors Inc. Emerging Leaders: 2019 for his accomplishments in Audit and KYC. Prior to Tamr, Aidar led audit, regulatory and compliance analytics enablement efforts for a global bank, and worked as a fraud analytics consultant for Fortune 2000 firms. Aidar also serves as an Adjunct Lecturer at Boston University, teaching graduate level Business Analytics courses.