The traditional approach to managing credit risk relies on manual analysis and historical data, emphasizing subjective evaluations of borrower creditworthiness. Decisions are often based on predetermined criteria, limiting adaptability to evolving market conditions. This conventional method is characterized by its reliance on human judgment and lacks the efficiency and accuracy that AI-driven systems offer.
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