Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Vol 8 No 12 (2024): Volume 8, Issue 12, December 2024 | Pages: 157-166
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 31-12-2024
Generative AI is revolutionizing the banking industry by leveraging advanced machine learning to enhance operations, customer experience, and risk management. This study explores the transformative potential of generative AI in key banking functions, including personalized recommendations, real-time monitoring, credit risk prediction, market trend analysis, automated loan approvals, and pitchbook creation. It highlights global trends, challenges, and opportunities in adopting generative AI in banking. The findings reveal that strategic implementation of generative AI improves operational efficiency, fraud detection, customer satisfaction, and regulatory compliance. However, challenges like data governance, transparency, regulatory alignment, and cybersecurity remain critical to address. This paper concludes with actionable insights into overcoming these challenges and maximizing the value of generative AI in banking operations.
Banking Operations, Generative AI, Customer Experience, Fraud Detection, and Risk Management
Rahul Kalva. (2024). Transforming Banking Operations with Generative AI Innovations in Customer Experience, Fraud Detection, and Risk Management. International Research Journal of Innovations in Engineering and Technology - IRJIET, 8(12), 157-166. Article DOI https://doi.org/10.47001/IRJIET/2024.812024
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