Market risk assessment using deep learning model and fog computing infrastructure
Assessing credit risk is a crucial duty inside financial institutions, ensuring sound lending procedures and reducing the probability of defaults. Traditional methods can face challenges in adapting to changing market conditions and handling large volumes of data. Machine learning (ML) offers an appealing solution by enabling automated and data-driven methods for credit risk assessment.