IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-2-38476-585-0_44.html

From Machines to Insights: GE Predix Leading the Industrial Internet Transformation

In: Proceedings of the 2025 International Conference on Hybrid Commerce, Human Capital, and Economic Dynamics (ICHCH 2025)

Author

Listed:
  • Jiarui Zhang

    (Xi’an Jiaotong-Liverpool University, International Business School Suzhou)

Abstract

Facing structural challenges such as data silos, high maintenance costs, legacy equipment integration issues, and linear business models, traditional manufacturing enterprises urgently need digital transformation to maintain competitiveness. Leveraging the Industrial Internet concept introduced by General Electric (GE) in 2012, this study systematically analyzes GE’s Predix platform--a cloud-based PaaS specifically designed for industrial workloads. By examining Predix’s technical architecture, core functionalities, and cross-industry applications through literature reviews and case studies, the research highlights substantial improvements in operational performance, including reductions in unplanned downtime by 20-25%, increases in energy production efficiency by 2.7-4.7%, and significant maintenance-cost savings. The study concludes that Predix’s integration of edge computing, predictive maintenance algorithms, digital twins, and cloud-native microservices provides an effective, replicable framework for intelligent industrial upgrades and sustainable development across capital-intensive sectors. By fostering a comprehensive digital ecosystem, Predix helps enterprises transi-tion toward sustainable, flexible, and responsive manufacturing models, aligning with contemporary Industry 4.0 objectives. It also highlights a replicable frame-work for other capital-intensive industries seeking to implement digital transfor-mation strategies effectively.

Suggested Citation

  • Jiarui Zhang, 2026. "From Machines to Insights: GE Predix Leading the Industrial Internet Transformation," Advances in Economics, Business and Management Research, in: Ata Jahangir Moshayedi (ed.), Proceedings of the 2025 International Conference on Hybrid Commerce, Human Capital, and Economic Dynamics (ICHCH 2025), pages 383-392, Springer.
    • Handle: RePEc:spr:advbcp:978-2-38476-585-0_44
    DOI: 10.2991/978-2-38476-585-0_44
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:advbcp:978-2-38476-585-0_44. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.