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Global Banking and Finance: Richer data and AI drive up credit scoring accuracy, particularly for SMEs
Published on:
July 7, 2018
Combining an entirely fresh look at the data used for credit scoring with cutting-edge AI provides a solution to one of banking’s most intractable problems: compiling accurate and reliable credit scores for companies asking for loans, in particular for thousands of SMEs involved in global trade, many of whom are rejected by lenders. Michael Boguslavsky, head of AI at Tradeteq and author of a newly-released white paper titled Machine Learning Credit Analytics for Trade Finance, explains how it works.
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