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APPLICATION OF ARTIFICIAL INTELLIGENCE FOR SUCCESSFUL STRATEGY IMPLEMENTATION IN INDIAS BANKING SECTOR

Authors: Bhavna Agarwal , Himanshu Agarwal and Parvez Talib;

APPLICATION OF ARTIFICIAL INTELLIGENCE FOR SUCCESSFUL STRATEGY IMPLEMENTATION IN INDIAS BANKING SECTOR

Abstract

Banks have been already offering a wide variety of products and services, integrated with technology and automation, the most familiar being ATM machines all around us. Now moving to the next level in the present Industry 4.0 era, Banking sector is all set to amplify its strategy implementation by leveraging latest digital technologies so that its customers may experience swift and secure processing of transactions. This study examined the evolution, adoption, implementation and future opportunities of leveraging Artificial Intelligence (AI) for successful strategy implementation in Indias banking sector. In pursuance of this study, authors reviewed extensive literature, explored secondary data about the research work done on ?Artificial Intelligence in Banking Sector to find out the current status of research as well as practical application of AI in various aspects of banking strategies e.g. surveillance, fraud detection, ensuring compliances, credit assessment, customer service, handling monotonous voluminous tasks etc. in general and focusses on recent developments in context of Indias banking sector, urging banking leadership to shift their focus proactively towards leveraging AI with an objective to bring in delight for customers

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Keywords

Artificial intelligence banking customer experience digital technology economy industry 4.0 strategy implementation

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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