IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v11y2025i6id1774.html

Autonomous Intelligence : A Technical Analysis of Self-Directing AI Systems and Their Enterprise Implementation

Author

Listed:
  • Naresh Babu Goolla

Abstract

This article explores the emerging landscape of autonomous AI agents and personalized assistants, examining how technologies like AutoGPT and BabyAGI are revolutionizing AI system independence through multi-step task execution capabilities. The article delves into the technical foundations enabling these systems to operate with increased autonomy while maintaining relevance to user needs. A comprehensive article on personalized AI assistants, including OpenAI's Custom GPTs and Meta's AI assistants, reveals their advanced context retention abilities and recommendation systems. The discussion encompasses implementation strategies for enterprise adoption, technical integration considerations, and these technologies' strategic implications for business transformation. The article concludes with insights into the evolving relationship between humans and increasingly autonomous AI systems, highlighting both challenges and opportunities in this rapidly advancing field.

Suggested Citation

  • Naresh Babu Goolla, 2025. "Autonomous Intelligence : A Technical Analysis of Self-Directing AI Systems and Their Enterprise Implementation," 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(6), pages 144-154, December.
  • Handle: RePEc:jbh:ijsrcs:v11:y2025:i6:id:1774
    DOI: 10.32628/CSEIT2511622
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT2511622
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/home/article/view/CSEIT2511622
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/home/article/download/CSEIT2511622/CSEIT2511622
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.32628/CSEIT2511622?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:i6:id:1774. 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.