Journal Press India®

Computology: Journal of Applied Computer Science and Intelligent Technologies
Vol 4 , Issue 2 , July - December 2024 | Pages: 41-60 | Research Paper

Harnessing Artificial Intelligence for Strategic Advantage: A Case Study of MasterCard’s Innovations and Applications

Author Details ( * ) denotes Corresponding author

1. Siddharth Chandel, Assistant Professor, Department of Commerce, Shyama Prasad Mukherji College for Women, University of Delhi, Delhi, Delhi, India (siddharthchandel1995@gmail.com)
2. Vijayta ., Assistant Professor, Department of Commerce, Sri Aurobindo College, University of Delhi, Delhi, Delhi, India (drvchand2024@gmail.com)
3. * Vikas Kumar, Senior Research Fellow (PhD), Department of Commerce, Himachal Pradesh University, Summer Hill, Shimla, Himachal Pradesh, India (kumarvikas.hp94@gmail.com)

The strategic use of artificial intelligence (AI) by MasterCard to better its business operations, increase customer service, strengthen security measures, and get a competitive advantage is investigated in this study. The objectives of the study are to analyse MasterCard’s AI strategies, examine specific applications and case studies, and evaluate the impacts and ethical considerations associated with AI implementation. The research methodology involves a comprehensive review of secondary data, including industry reports, case studies, and scholarly articles. Findings indicate that MasterCard effectively leverages AI for fraud detection and prevention, customer experience personalisation, operational efficiencies, and predictive analytics. Successful AI projects have significantly improved these areas, demonstrating the transformative AI perspective in the banking sector. However, challenges such as data privacy, ethical implications, and regulatory compliance are also highlighted. The paper concludes with future directions of AI at MasterCard and recommendations for other financial institutions seeking to implement similar strategies.

Keywords

Artificial Intelligence (AI); MasterCard; Financial services; Fraud detection; Customer experience; Operational Efficiency

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