Recent advances in artificial intelligence and machine learning, coupled with the evolution of large-scale data storage, access and processing technologies, have fueled interest among financial institutions in new data sources for credit scoring. Examples of these new sources include bill payment histories for phone, utility and streaming services; transaction records from checking, savings and money market accounts; and rent payment histories. The motive is twofold—pursuit of profit, including generating new accounts, and improving social welfare by extending credit access to those who lack traditional credit scores. New research from the Read More
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