Machine Learning: Fraud Is Now a Competitive Issue
Report Summary
Machine Learning: Fraud Is Now a Competitive Issue
Data is the new currency, and creating intelligence from data at scale requires machine learning.
Boston, October 3, 2017 – Organized crime rings are systematically and methodically targeting the financial services value chain with sophisticated card fraud, application fraud, and account takeover attacks. And as these threats continue to escalate, financial institutions are under intense competitive pressure to make the banking experience easier and frictionless. Can FIs leverage customer data and advanced machine learning techniques to achieve the dual goals of better fraud mitigation and improved customer experience?
This report helps FI executives benchmark their progress in moving toward machine learning analytics against their peers and better understand the considerations and lessons learned along the way. In this research study, sponsored by iovation, Aite Group interviewed 28 senior fraud and data analytics executives at 20 North American FIs in August and September 2017.
This 25-page Impact Report contains 11 figures and four tables. Clients of Aite Group’s Fraud & AML service can download this report, the corresponding charts, and the Executive Impact Deck.