The State Bank of India (SBI), as India’s largest and oldest public sector bank, has continually evolved its business model to meet the demands of a rapidly digitizing economy and a highly competitive financial landscape. This study investigates the multifaceted business model of SBI, highlighting how digital technologies, particularly machine learning (ML) and deep learning (DL), are reshaping traditional banking paradigms. The integration of AI-driven analytics into SBI’s core operations—ranging from credit risk evaluation and fraud detection to customer engagement and personalized product offerings—is explored in detail. Employing a mixed-methods research approach that combines quantitative financial data analysis with qualitative case studies of SBI’s AI implementations, this research uncovers significant operational efficiencies and enhanced customer satisfaction metrics. It also addresses challenges such as ethical AI deployment, regulatory compliance, and workforce transformation. The findings provide strategic insights for SBI and other financial institutions aiming to harness advanced software technologies to innovate their business models and remain competitive in an increasingly digital global market
M.Likitha et al. (Wed,) studied this question.
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