Banks and insurance companies have confirmed that they save more than 50% of the clarifications with Machine Learning. Why is that?
Less clarifications of false positives in customer screening
With KYC software, financial institutions regularly check new and existing customers for hits with sanctions and PEP lists. However, not all hits are real risks; many of them are so-called ‘false positives’.
The new whitepaper explains why Machine Learning can save up to 57% of false positives.
Benefit from answers to the following questions:
What are various machine learning methods?
What is the practical application of Machine Learning in sanctions screening?
Why is the savings potential over 50%?
How does a machine learning model learn?
Fill in the contact form and download the whitepaper or write an E-Mail to info@actico.com.
"Machine Learning in Compliance helps compliance concentrate on true positives."
