The Role of Generative AI in Financial Data Analytics Opportunities and Challenges for Banking Sector Innovation

Authors

  • Rajesh Kamisetty

Keywords:

Generative AI, Financial Data Analytics, Banking Innovation, Risk Assessment, Fraud Detection, Regulatory Compliance

Abstract

June 28, 2023 (Corporate Wire via COMTEX) -- Generative AI is transforming data analytics in the financing industry by leveraging its robust capabilities to make the process of data extraction deep, efficient, and insightful. Generative AI banks accelerate the complex process while providing predictive modeling for the forefront of decision-making. It would allow automation of data-based decision-making to optimize risk assessment and fraud detection, enabling tailored financial products and services through AI-supported financial advisory services.

References

Wang, X., et al. (2021). Deep Learning for Financial Forecasting: Advances and Challenges. Journal of Financial Analytics, 15(3), 122-140.

Zhang, Y., & Li, H. (2022). Transformers in Financial Data Analysis: A Review. AI & Finance Review, 10(2), 87-102.

Nguyen, T., et al. (2023). AI-Based Fraud Detection in Banking: A Survey. Computational Finance Journal, 22(4), 198-220.

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Published

2024-12-20

How to Cite

Rajesh Kamisetty. (2024). The Role of Generative AI in Financial Data Analytics Opportunities and Challenges for Banking Sector Innovation . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 2177–2192. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2023

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Section

Articles