IDEAS home Printed from https://ideas.repec.org/a/tec/techni/ojs13248.html

AI in Cloud-Based Digital Transformation of Smart Cities

Author

Listed:
  • Mohsin Ashraf Kayani

    (Artificial Intelligence and Cloud Performance Specialist, Riyadh, Saudi Arabia)

Abstract

Artificial Intelligence (AI) and cloud platforms now sit at the center of how cities plan and run services. Rather than reacting to congestion, energy demand, or service failures, departments can anticipate them by analyzing streams of urban data. This study maps the field by combining a bibliometric review with policy analysis. Using the Scopus database and VOSviewer 1.6.20, 376 peer-reviewed items published between 2020 and 2025 were analyzed to trace publication growth, collaboration networks, and thematic clusters. Four domains recur: (1) AI-cloud infrastructure, (2) urban sustainability and mobility, (3) governance and ethics, and (4) smart-services innovation. High-income economies—especially China, the United States, and the United Arab Emirates—lead output and cross-institutional collaboration, while participation from the Global South remains limited. Human-centered design, open-data governance, and adaptive regulation are essential if AI-cloud systems are to support equitable outcomes aligned with UN SDG 11 and Saudi Vision 2030.

Suggested Citation

  • Mohsin Ashraf Kayani, 2025. "AI in Cloud-Based Digital Transformation of Smart Cities," Technium, Technium Science, vol. 30, pages 299-319, October.
    • Handle: RePEc:tec:techni:ojs:13248
    DOI: 10.47577/technium.v30i.13248
    as

    Download full text from publisher

    File URL: https://techniumscience.com/index.php/technium/article/view/13248
    Download Restriction: no
    File URL: https://libkey.io/10.47577/technium.v30i.13248?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

    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:tec:techni:ojs:13248. 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: Ana Maria Golita (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.