Tradeteq’s Michael Boguslavsky discusses AI-powered credit scoring for SMEs in The Global Treasurer

Author of a newly-released whitepaper, ‘Machine Learning Credit Analytics for Trade Finance’ and head of AI at Tradeteq, Michael Boguslavsky has written an expert piece for The Global Treasurer where he discusses how machine learning techniques, combined with broader and deeper company data, can improve credit scoring for SMEs. Current scoring methods – often forms of the Altman Z-score – are a primary reason SMEs so often fail to secure the trade finance they need, argues Boguslavsky.

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