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The intelligent use of advanced analytics, automation and ML is increasingly important for financial institutes in fraud prevention.

This approach allows analysis of large amounts of data and can extract suspicious patterns, identifying potential risks at an early stage.

In this case study, learn how one financial services company was able to lessen the amount of manual checks by developing an ML statistical forecast model, and learn how you can do the same in your organization.

Vendor:

Actico

Posted:

May 25, 2021

Published:

Dec 21, 2020

Format:

PDF

Type:

Case Study