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The article discusses the integration of big data and artificial intelligence (AI) technologies in the financial sector, focusing on supervised learning for pricing models to enhance customer identification and targeting. It details the construction of customer feature systems, including attributes like debit and credit card transactions, loan applications, and online behavior. By leveraging AI, financial institutions aim to accurately profile customers, boost consumption, and improve price management, ultimately aiding risk management and loan approval decisions. The article also covers related work in financial risk monitoring and machine learning in credit risk modeling, highlighting advancements and challenges in these areas.
Yang et al. (Thu,) studied this question.