Abstract
The goal of this research is to examine prior work on the subject of artificial intelligence (AI) integration in the banking sector of India using a systematic literature review (SLR). Using the PRISMA paradigm, this study examines the industry's and customers' perspectives on how artificial intelligence (AI) is transforming banking services. Chatbots, automated customer care, predictive analytics, and fraud detection are just a few examples of the AI applications that this study synthesizes from a wide variety of academic and business sources to highlight important trends, advantages, and disadvantages. The report emphasizes the increasing value of AI-driven ease, customization, and security, and how these technologies are transforming the user experience. But it does deal with important things like data privacy, ethical concerns, and the digital divide.. Through this analysis, the study aims to offer actionable insights into the successful integration of AI, fostering a more adaptive and customer-centric banking environment. Current research predominantly relies on descriptive analysis and secondary data sources. To advance the understanding of consumer perspectives and AI integration in banking, there is a pressing need for empirical research. This study would enrich the existing knowledge base by providing firsthand insights and how AI technologies are influencing consumer behavior and banking practices.
Published Version
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