IDEAS home Printed from https://ideas.repec.org/a/sae/sajbmc/v2y2013i1p115-123.html
   My bibliography  Save this article

Gulf Shores Company

Author

Listed:
  • Asma Qureshi
  • Jeff Stevens

Abstract

Business intelligence (BI) has been successful in eliminating the traditional decision support systems at Gulf Shores Company (GSC) to improve efficiency and effectiveness in service delivery and eliminate human errors. Such improved organizations are better prepared to respond quickly to threats and opportunities. Artificial intelligence (AI) supports an organization’s BI process by simplifying them and making them more cost-effective so that, under certain conditions, automated decisions and alerts can be used. Introducing AI into GSC processes would also give them the capability of making decisions in real time. GSC could implement the BI/AI combination in complex settings to address a wide range of risks specific to their industry. The case study describes the logic for implementing AI in petroleum industries, based on an intelligent system that helps offshore platforms start up, and explains how it can be applied in other industries such as medical billing.

Suggested Citation

  • Asma Qureshi & Jeff Stevens, 2013. "Gulf Shores Company," South Asian Journal of Business and Management Cases, , vol. 2(1), pages 115-123, June.
    • Handle: RePEc:sae:sajbmc:v:2:y:2013:i:1:p:115-123
    DOI: 10.1177/2277977913480653
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/2277977913480653
    Download Restriction: no
    File URL: https://libkey.io/10.1177/2277977913480653?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
    ---><---

    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:sae:sajbmc:v:2:y:2013:i:1:p:115-123. 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: SAGE Publications (email available below). General contact details of provider: .

    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.