Report

Everlink Accelerates Operationalization of Machine Learning With ACI Worldwide

Leveraging ACI’s Model Generator enabled Everlink to improve its CNP fraud detection rate by 11% to 22%.
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Boston, November 5, 2019 – As fraud trends have put pressure on business leaders to balance loss prevention and client experience, the demand to operationalize advanced analytics has increased. This case study examines the path to applied machine learning for Everlink and the resulting benefits and lessons learned from its partnership with ACI Worldwide.

Clients of Aite Group’s Fraud & AML service can download this 10-page Impact Brief. To learn more about the topic covered in this Impact Brief, please contact us at [email protected].

About the Author

Trace Fooshee

Trace Fooshee

Trace Fooshee is a Strategic Advisor in the Fraud & AML practice at Datos Insights, covering fraud and data security issues. Trace has been leading business transformation initiatives for over 20 years. He started his professional career in Singapore, where he focused on delivering process automation solutions for banking and securities clients by way of workflow and document management-based transformations....

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