
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 2
March-April 2025
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Evaluation of Artificial intelligence in banking sector
Author(s) | Mr. Akshay Kumar Sharma, Dr. Ankur Aggarwal |
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Country | India |
Abstract | Specifically designed for RBL, this study offers a succinct synopsis of the development of artificial intelligence (AI) in the banking industry. It draws attention to how AI affects risk management, fraud detection, customer care, and tailored marketing. It also discusses the difficulties, possibilities, and outlook for AI adoption in banking, providing information to help RBL make strategic decisions about utilizing AI technology. Artificial intelligence (AI) will enable global banking organizations to completely reimagine how they operate, offer revolutionary goods and services, and—most importantly—avoid disrupting the consumer experience. Thanks to fintech companies, banks will face challenges from modern technology that can supplement or even replace human labor with sophisticated algorithms in the machine age. To stay ahead of the competition, banking and financial institutions. This essay will look at some of the major unsolved issues in the banking industry to analyze the dynamics of AI platforms and how they are quickly emerging as a major disruptor. |
Keywords | Artificial intelligence, risk |
Field | Business Administration |
Published In | Volume 7, Issue 2, March-April 2025 |
Published On | 2025-04-20 |
DOI | https://doi.org/10.36948/ijfmr.2025.v07i02.42324 |
Short DOI | https://doi.org/g9f7ph |
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E-ISSN 2582-2160

CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
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