Report

Demystifying Machine Learning for Financial Institutions

This report from Feedzai, 'Demystifying Machine Learning for Financial Institutions', looks at how machine learning operates, and how it can impact the way banks detect and prevent known types of fraud and stay ahead of emerging fraud trends.

01 December 2020 985 downloads

The availability of vast volumes of data, enhanced computing, improved algorithms, and the growth of AI-focused organizations creates a significant opening for businesses. Banks and other financial institutions (FIs) now have the opportunity to convert this data into actionable insights. To access these insights, FIs need to understand machine learning. Machine learning is a complex topic that can leave people in non-technical roles feeling puzzled.

The report has been written for Financial Institutions, specifically for non-technical risk and fraud managers. Insights included in the report include:

How to shift from a reactive to a proactive fraud detection strategy
How to chase the long tail of fraud
The machine learning checklist of how banks should assess the capabilities of a machine learning platform

Download the report to get the latest insights on how machine learning is transforming the financial services landscape.

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Demystifying Machine Learning for Financial Institutions

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