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HomeBlogKnowledgeThreshold fine-tuning of money laundering scenarios through multi-dimensional optimization techniques

Threshold fine-tuning of money laundering scenarios through multi-dimensional optimization techniques

A new research paper by Effiya’s managing director Abhishek Gupta is published.

It is dedicated to scenario fine-tuning in AML context. You will be surprised to discover that with linear and non-linear optimization applied on threshold fine-tuning – productivity of AML system can improve by 5%+ while still capturing all actual SARs.

Read more on Emerald

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