IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v11y2025i2id1266.html

Modernizing Data Platforms into Cloud for Strategic Advantage with AI

Author

Listed:
  • Simi Abdul Shukkoor

Abstract

The rapid evolution of cloud computing and artificial intelligence (AI) has revolutionized the way organizations manage, process, and derive value from their data. Modernizing data platforms by migrating them to the cloud and integrating AI capabilities has emerged as a strategic imperative for businesses seeking to enhance agility, scalability, and innovation. This article explores the transformative potential of cloud-based data platforms augmented by AI, highlighting the strategic advantages they offer. It examines key considerations for modernization, including architectural design, data governance, and AI integration, while addressing challenges such as security, cost management, and organizational change. The article concludes with a forward-looking perspective on how businesses can leverage these technologies to drive competitive advantage in the digital era.

Suggested Citation

  • Simi Abdul Shukkoor, 2025. "Modernizing Data Platforms into Cloud for Strategic Advantage with AI," 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(2), pages 2086-2106, March.
    • Handle: RePEc:jbh:ijsrcs:v11:y2025:i2:id:1266
    DOI: 10.32628/CSEIT23112556
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT23112556
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/home/article/view/CSEIT23112556
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/home/article/download/CSEIT23112556/CSEIT23112556
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32628/CSEIT23112556?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:i2:id:1266. 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.