IDEAS home Printed from https://ideas.repec.org/a/alk/jcsts0/v7y2025i2id9253.html

AI-Driven Enterprise Cloud Solutions: Balancing Innovation, Privacy, and Ethics for Sustainable Business Transformation and Stakeholder Trust

Author

Listed:
  • Siva Prasad Sunkara

    (Microsoft Corporation, USA)

Abstract

This article explores the complex interplay between artificial intelligence, data privacy, and ethical considerations within enterprise cloud solutions. As organizations increasingly adopt AI-powered CRM, ERP, and automation systems, they face the dual challenge of driving business innovation while safeguarding societal trust. The discussion examines how companies can implement enhanced data privacy compliance mechanisms, detect and mitigate algorithmic bias, and establish robust governance frameworks. By analyzing current regulatory landscapes, technical solutions, and organizational strategies, the article provides a comprehensive examination of how businesses can balance operational efficiency with ethical responsibility. This article contributes valuable insights for technology leaders, compliance officers, and executives seeking to harness AI's transformative potential while upholding principles of transparency, fairness, and privacy in an increasingly data-driven business environment.

Suggested Citation

  • Siva Prasad Sunkara, 2025. "AI-Driven Enterprise Cloud Solutions: Balancing Innovation, Privacy, and Ethics for Sustainable Business Transformation and Stakeholder Trust," Journal of Computer Science and Technology Studies, Al-Kindi Center for Research and Development, vol. 7(2), pages 529-537, March.
    • Handle: RePEc:alk:jcsts0:v:7:y:2025:i:2:id:9253
    DOI: 10.32996/jcsts.2025.7.2.56
    as

    Download full text from publisher

    File URL: https://al-kindipublisher.com/index.php/jcsts/article/view/9253
    File Function: Abstract page
    Download Restriction: no
    File URL: https://al-kindipublisher.com/index.php/jcsts/article/download/9253/7915
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32996/jcsts.2025.7.2.56?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:alk:jcsts0:v:7:y:2025:i:2:id:9253. 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: Al-Kindi Center for Research and Development (email available below). General contact details of provider: https://al-kindipublisher.com/index.php/jcsts .

    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.