15Nov 2019

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

  • Aligarh Muslim University, Aligarh: D. N. (pg) college, C.C.S. University, Meerut: Aligarh Muslim University, Aligarh: India
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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


  1. https://www.financialdirector.co.uk/2019/10/03/ai-for-financial-directors-and-cfos/
  2. Aazhvaar, V. (2019). ARTIFICIAL INTELLIGENCE IN INDIAN BANKING SECTOR: CHALLENGES AND OPPORTUNITIES. International Journal of Advanced Research, April 7(5), 1581-1587.
  3. Alam, M., & Khokhar, R. (2006). Impact of Internet on Customer Loyalty in Swedish Banks. J. Econ. Psychol. Apr 7;16:311-29.
  4. Ardito, L., Petruzzelli, A. M., Panniello, U., & Achille, C. (2019). Towards Industry 4.0. Business Process Management Journal , Bradford Vol. 25, Iss. 2, pp: 323-346.
  5. Awad, R. (2011). Considerations on Cloud Computing for CPAs. The CPA Journal , New York Vol. 81, Iss. 9, Sep pp: 11-12.
  6. Ayachit, M. M. (2017). ICT Innovation in Indian Banking Sector: Trends and Challenges. IOSR Journal of Business and Management (IOSR-JBM), PP 21-27.
  7. Bellman, R. (1978). An Introduction to Artificial Intelligence: Can Computers Think? San Francisco: Boyd & Fraser Pub. Co.
  8. Bidgoli, H. (2018). Cloud Computing Deployment: What Have We Learned from Real Life Implementations and Practices. Journal of Strategic Innovation and Sustainability , West Palm Beach Vol. 13, Iss. 1, Jul pp 36-52.
  9. Brachman, R. J. (2006). (AA)AI More Than the Sum of Its Parts.AI Magazine, Volume 27 Number 4.
  10. Brauer, H. (2005). Financial services customer loyalty. Finance Week, March, 49.
  11. Brynjolfsson, E., & Hitt, L. M. (2000). Beyond Computation: Information Technology, Organizational Transformation and Business Performance. Journal of Economic Perspectives, 14(4), 23-48.
  12. Castelli, M., Manzoni, L., & Popovic, A. (2016). An Artificial Intelligence System to Predict Quality of Service in Banking Organizations. Computational Intelligence and Neuroscience, http://dx.doi.org/10.1155/2016/9139380.
  13. Chakroborty, A. (2017). Futuristic Robotic Technology in Retail and Banking. Imperial Journal of Interdisciplinary Research (IJIR), ISSN: 2454-1362, Vol-3, Issue-3, 291 - 299.
  14. Chester, A. N. (1994). Aligning Technology with Business Strategy. Research-Technology Management , 37(1), 25-32.
  15. Davenport, T. (2016). Innovation in Audit Takes the Analytics, AI Routes. Audit Analytics, Cognitive Technologies, to set Accountants Free from Grunt Work. Dupress Publisher.
  16. Donner, J., & Tellez, C. A. (2008). Mobile banking and economic development:linking adoption, impact, and use. Asian Journal of Communication, 18(4), 318-332.
  17. Duch, W., Swaminathan, K., & Meller, J. (2007). Artificial Intelligence Approaches for Rational Drug Design and Discovery, Current Pharmaceutical Design.
  18. El-Haddadeh, R. (2019). Digital Innovation Dynamics Influence on Organisational Adoption: The Case of Cloud Computing Services. Information Systems Frontiers , New York, Apr, pp: 1-15.
  19. (2019). The relationship between cloud adoption and business strategy. Strategic Direction , Bradford Vol. 35, Iss. 4, pp: 7-9.
  20. Erd?lyi, O. J., & Goldsmith, J. (2018). Regulating Artificial Intelligence Proposal for a Global Solution. AAAI/ACM Conference on Artificial Intelligence. Ethics and Society.
  21. Fethi, M., & Pasiouras, F. (2010). Assessing Bank Efficiency and Performance with Operational Research and Artificial Intelligence Techniques: A Survey. European Journal of Operational Research, Vol. 204 (2). pp. 189-198.
  22. Ghodselahi, A., & Amirmadhi, A. (2011). Application of Artificial Intelligence Techniques for Credit Risk Evaluation. International Journal of Modeling and Optimization, August, Vol. 1, No. 3. pp 243-247.
  23. Ghurair, A. A. (2018, February 3). Embracing artificial intelligence: Do UAE banks have a choice? Khaleej Times, pp. https://www.khaleejtimes.com/business/banking-finance/embracing-artificial-intelligence-do-uae-banks-have-a-choice.
  24. Joshi, P. R., Islam, S., & Islam, S. (2017). A Framework for Cloud Based E-Government from the Perspective of Developing Countries. Future Internet , Basel Vol. 9, Iss. 4, pp: 80.
  25. KUMAR, D. N. (2018). A DESCRIPTIVE STUDY ON THE BANKING SYSTEM COHERENT TO VISION 2022: A NEW INDIA. ZENITH International Journal of Business Economics & Management Research, Vol.8 (4), APRIL (2018), pp. 212-220.
  26. Kumar, S., & Goudar, R. H. (2012). Cloud Computing ? Research Issues, Challenges, Architecture, Platforms and Applications: A Survey. International Journal of Future Computer and Communication , Vol. 1, No. 4, December, pp.356-360.
  27. Kurode, T. (2018). Review of Applicability of Artificial Intelligence in Various Financial Services in India. Journal of Advance Management Research, ISSN: 2393-9664, Vol.06 Issue-01, January.
  28. Kurzweil, R. (1990). The Age of Intelligent Machines. MIT Press.
  29. Lagarde, C. J. (2018). Central Banking and Fintech: A Brave New World. Governance, Globalization, 12(1-2), 4-8.
  30. Lakshminarayana, P. N., & Deepthi, B. R. (2019). Advent of Artificial Intelligence and its Impact on Top Leading Commercial Banks in India ? Case Study. International Journal of Trend in Scientific Research and Development (IJTSRD), Volume ? 3 | Issue ? 4 | May-Jun, p 614 - 616.
  31. Lee, K. C., & Chung, N. (2009). Understanding factors affecting trust in and satisfaction with mobile banking in Korea: A modified DeLone and McLeans model perspective. Interacting with Computers, 21(5-6), 385-392.
  32. Leimeister, S., B?hm, M., Riedl, C., & Krcmar, H. (2010). The Business Perspective of Cloud Computing: Actors, Roles and Value Networks. European Conference on Information Systems (p. 56). AIS Electronic Library (AISeL).
  33. Longinus, O. (2018). Artificial Intelligence System: Implication for Proper Record Keeping in Microfinance Banks in Nigeria. International Journal of Academic Research in Accounting, Finance and Management Sciences, Vol. 8, No.1, January, pp. 131?136.
  34. Low, C., Chen, Y., & Wu, M. (2011). Understanding the determinants of cloud computing adoption. Industrial Management & Data Systems , Vol. 111 No. 7, pp. 1006-1023.
  35. Mangiuc, D. (2017). Accountants and the cloud ? Involving the professionals. Accounting and Management Information Systems , Bucharest Vol. 16, Iss. 1, pp: 179-198.
  36. Misra, S. C., & Mondal, A. (2011). Identification of a companys suitability for the adoption of cloud computing and modelling its corresponding Return on Investment. Mathematical and Computer Modelling , Feb. Vol. 53, pp. 504-21.
  37. Moin, K. I., & Ahmed, Q. B. (2012). Use of Data Mining in Banking. International Journal of Engineering Research and Applications (IJERA), Vol. 2, Issue 2, Mar-Apr, pp.738-742.
  38. Moro, S., Cortez , P., & Paulo, R. (2015). Business Intelligence in Banking. Expert Systems with Applications: An International Journal, Vol. 42(3), pp. 1314-1324.
  39. Nanath, K., & Pillai, R. (2013). A Model for Cost-Benefit Analysis of Cloud Computing. Journal of International Technology and Information Management , San Bernadino Vol. 22, Iss. 3, pp: 95-II.
  40. Nuseibeh, Y. H. (2017). Artificial Intelligence: Opportunities and challenges in finance industry. Gulf: Gulf News. Available at: https://gulfnews.com/business/sectors/banking/artificial-intelligence-opportunities-and-challenges-in-finance-industry-1.1976801.
  41. Oztemel, E., & Samet, G. (2018). Literature review of Industry 4.0 and related technologies. Journal of Intelligent Manufacturing , London (Jul) pp: 1-56.
  42. Padhy, R. P., Patra, M. R., & Satapathy, S. C. (2011). Cloud Computing: Security Issues and Research Challenges. IRACST - International Journal of Computer Science and Information Technology & Security (IJCSITS) , Vol. 1, No. 2, December, pp. 136 - 146.
  43. plattform-i40. (2019, April 04). Retrieved from start page / About the platform / Workgroups / Technology and application scenarios: https://www.plattform-i40.de/PI40/Redaktion/DE/Standardartikel/arbeitsgruppe-02.html
  44. Prasad, M., Naik, R. L., & Bapuji, V. (2013). Cloud Computing : Research Issues and Implications. Institute of Advanced Engineering and Sciencew w w . i a e s jInternational Journal of Cloud Computing and Services Science (IJ-CLOSER) , ISSN: 2089-3337, Vol.2, No.2, April, pp. 134~140.
  45. Ray, T. (2017). Scopes of Machine Learning and Artificial Intelligence in Banking & Financial Services. ML & AI ? The Future of Fintechs. December: https://www.stoodnt.com/blog/scopes-of-machine-learning-and-artificial-intelligence-in-banking-financials-services-ml-ai-the-future-of-fintechs/.
  46. Ross, P., & Blumenstein, M. (2013). Cloud computing: the nexus of strategy and technology. The Journal of Business Strategy , Boston Vol. 34, Iss. 4, pp: 39-47.
  47. Russell, S., & Norvig, P. (2003). Artificial Intelligence-A Modern Approach. Dorling Kindersley (India) Pvt. Ltd. pp 16-25, 2nd ed.
  48. Sabharwal, M. (2014). The use of Artificial Intelligence (AI) based technological applications by Indian Banks. International Journal of Artificial Intelligence and Agent Technology, 2. 1-5.
  49. Sabi, H. M., Uzoka, F.-M. E., Langmia, K., Njeh, F. N., & Tsuma, C. K. (2018). A cross-country model of contextual factors impacting cloud computing adoption at universities in sub-Saharan Africa. Information Systems Frontiers , New York Vol. 20, Iss. 6, Dec, pp: 1381-1404.
  50. Shachmurove, Y. (2002). Applying Artificial Neural Networks to Business, Economics and Finance.
  51. Shee, H., Shah, J. M., Fairfield, L., & Pujawan, N. (2018). The impact of cloud-enabled process integration on supply chain performance and firm sustainability: the moderating role of top management. Supply Chain Management , Bradford Vol. 23, Iss. 6, pp. 500-517.
  52. SINDU, M. (2019). ARTIFICIAL INTELLIGENCE AND ITs IMPACT ON BANKING SECTOR. INTERNATIONAL JOURNAL OF RESEARCH IN COMMERCE, IT & MANAGEMENT, VOLUME NO. 9, ISSUE NO. 01 (JANUARY), 17-19.
  53. Sinha, D. M. (2017). ARTIFICIAL INTELLIGENCE -BANKS IN INDIA. International Journal in Management and Social Science, Vol.05 Issue-07, July, 474 - 478.
  54. Sophia, M. (2018, January 17). Banks Are Taking Note As Fintech Spikes Customers\' Interest. Forbes, pp. https://www.forbesmiddleeast.com/banks-are-taking-note-as-fintech-spikes-customers-interest.
  55. Srivastava, P., & Khan, R. (2018). A Review Paper on Cloud Computing. International Journals of Advanced Research in Computer Science and Software Engineering , ISSN: 2277-128X (Volume-8, Issue-6) pp. 17-20.
  56. Technology, N. I. (2011, October 25). Final Version of NIST Cloud Computing Definition Published. Retrieved from https://www.nist.gov/news-events/news/2011/10/final-version-nist-cloud-computing-definition-published
  57. Umar, A., Mehmood, A., Majeed, M. F., & Muham, S. (2019). Innovative Citizens Services through Public Cloud in Pakistan: Users Privacy Concerns and Impacts on Adoption. Mobile Networks and Applications , New York Vol. 24, Iss. 1, Feb pp: 47-68.
  58. VEDAPRADHA, R., & HARIHARAN, R. (2018). APPLICATION OF ARTIFICIAL INTELLIGENCE IN INVESTMENT BANKS. Review of Economic & Business Studies, Volume 11, Issue 2, pp.131-136.
  59. Vedapradha, R., Ravi, H., & Jebasingh, R. (2016). TECHNOLOGY IN BUSINESS ? A MAGIC WAND IN BANKING SECTOR. INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY, 431 - 435.
  60. Winston, P. H. (1992). Artificial Intelligence. Boston, MA, USA: Addison-Wesley Longman Publishing Co., Inc.
  61. Zhang, Q., Cheng, L., & Boutaba, R. (2010). Cloud computing: state-of-the-art and research challenges. Journal of Internet Services and Applications , May, Volume 1, Issue 1, pp 7?18.
  62. Zineldin, M. (2006). The royalty of loyalty: CRM, quality and retention. Journal of consumer marketing, Dec 1;23(7):430-7.
  63. Sharma, Ashwani and Agarwal, Himanshu (2018). Study of Recent Developments related to Cashless Commerce in India. Journal of Commerce and Trade, October, 2018, 13:2;Pp.:66-71. https://doi.org/10.26703/JCT.v13i2-10.

[Bhavna Agarwal, Himanshu Agarwal and Parvez Talib (2019); APPLICATION OF ARTIFICIAL INTELLIGENCE FOR SUCCESSFUL STRATEGY IMPLEMENTATION IN INDIAS BANKING SECTOR Int. J. of Adv. Res. 7 (11). 157-166] (ISSN 2320-5407). www.journalijar.com


MS. BHAVNA AGARWAL
Research Scholar, Aligarh Muslim University, ALIGARH. INDIA

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