How to Deploy AI for Fraud Detection in Financial Services

Daniel Faggella

Daniel Faggella is Head of Research at Emerj. Called upon by the United Nations, World Bank, INTERPOL, and leading enterprises, Daniel is a globally sought-after expert on the competitive strategy implications of AI for business and government leaders.

How to Deploy AI for Fraud Detection in Financial Services

Fraud, money laundering, and other cyber crimes often increase in times of economic strife, and the pandemic is no different. In light of the coronavirus crisis, we believe that fraud detection applications are among the AI use-cases that are most likely to be adopted and deployed even when funds dry up for other kinds of more long-term, strategic innovation investments.

Emerj's AI Oppourtunity Landscape research in financial services shows are often the best for a measurable, near-term ROI after a relatively simple integration. Applying artificial intelligence in the enterprise is never easy. However, many AI-enabled fraud detection applications only require a few key data sources to yield tangible results. This makes them  good first projects for building AI-related skills in the enterprise.

In this article we discuss a strategy for deploying an AI-enabled fraud detection application in financial services. First, we run through four steps for bringing one such application to l...

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