IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v11y2025i1id822.html

Generative AI in Financial Services: A Strategic Framework for Digital Transformation

Author

Listed:
  • Vijaya Kumar Guntumadugu

Abstract

This article examines the transformative impact of Generative Artificial Intelligence (GenAI) on the financial services industry, with a particular focus on strategic implementation and operational transformation in the banking sector. Through a comprehensive analysis of current implementations and strategic initiatives, particularly in North American banks, the article explores how GenAI is revolutionizing traditional banking operations, from automated knowledge management to personalized customer services. The article investigates the multifaceted approach institutions are taking toward AI integration, including investments in infrastructure, talent development, and risk management protocols. The article reveals that successful AI implementation requires a balanced approach between innovation and risk mitigation, with institutions strategically deploying AI solutions across various operational domains. This article contributes to the growing body of literature on digital transformation in financial services by providing a structured framework for understanding the strategic implications of GenAI adoption and its role in shaping the future of banking operations. The article concludes by identifying critical success factors for AI implementation and suggesting future research directions in this rapidly evolving field.

Suggested Citation

  • Vijaya Kumar Guntumadugu, 2025. "Generative AI in Financial Services: A Strategic Framework for Digital Transformation," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 11(1), pages 1553-1559, February.
    • Handle: RePEc:jbh:ijsrcs:v11:y2025:i1:id:822
    DOI: 10.32628/CSEIT251112145
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT251112145
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/home/article/view/CSEIT251112145
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/home/article/download/CSEIT251112145/CSEIT251112145
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32628/CSEIT251112145?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jbh:ijsrcs:v11:y2025:i1:id:822. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.