Journal Press India^®

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This research presents a holistic perspective, and it investigates all of the published works on the subject of artificial intelligence (AI) in banking that have been made available to the public after the year 2005. The writers of this research carried out a comprehensive literature review in order to choose 44 relevant papers and publications. From these sources, the authors retrieved data in order to carry out a topic and content analysis. This study bridges the gap between academic research and industry knowledge by presenting a list of research topics that illustrate how artificial intelligence (AI) may be applied in banking, as well as an AI banking service architecture. This fills in the gap between academic research and industry knowledge that has previously existed. The findings indicate that the study of artificial intelligence (AI) in banking has advanced to include three new subfields: strategy, process, and customer. When it comes to determining how artificial intelligence (AI) technology may be used most effectively in the financial industry, the marketers and decision-makers at banks may find these insights to be helpful. These findings generate inquiries about what else may be looked at as a possible next step.

Keywords

Artificial Intelligence, Digital Innovations, Digital Banking, Banking, Systematic Literature Review

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