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Machines Learning from...The Machines: A Layered Machine Learning Defensive and Offensive Fraud Strategy

Overview

Date 02:05 PM - 02:55 PM (0 hours 50 minutes)
Monday, May 06
Track
Smarter Payments Experience
Event
In-person

Speakers in this session delve into the realm of Crime Risk Centers and explain how to create a powerful fraud defense that adapts to your organization's unique needs. Join us for a transformative journey as speakers explore the impact of multiple machine learning models on fraud strategy. In this captivating session, discover the key to achieving business objectives while combating fraud risks across diverse segments. Harness the potential of machine learning to strike the perfect balance between enhanced customer experiences and minimized fraud losses, all while driving revenue growth. Dive into the world of umbrella models and build defensive (and offensive) layers for various channels and payment types. Witness how machine learning empowers your daily fraud operations, optimizing your defense against ever-evolving threats. As we dive deeper, explore the critical role of model governance in maintaining ethical and unbiased strategies. Safeguard against potential risks and ensure responsible fraud management across all model types.

Speakers:

J
Jas Anand
Value Engineering and Sales Enablement Lead North America
Feedzai Inc.
R
Rob Mara
Partner, Head of Fraud Consulting
Ernst & Young