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

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

Authors
Jiarui Zhang1, *
1International Business School Suzhou, Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu Province, 215123, People’s Republic of China
*Corresponding author. Email: Jiarui.Zhang2202@student.xjtlu.edu.cn
Corresponding Author
Jiarui Zhang
Available Online 18 June 2026.
DOI
10.2991/978-2-38476-585-0_44How to use a DOI?
Keywords
Industrial Internet; Digital Transformation; Predix Platform; Industry 4.0; Manufacturing Digitization; Digital Twin
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.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 International Conference on Hybrid Commerce, Human Capital, and Economic Dynamics (ICHCH 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
18 June 2026
ISBN
978-2-38476-585-0
ISSN
2352-5428
DOI
10.2991/978-2-38476-585-0_44How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jiarui Zhang
PY  - 2026
DA  - 2026/06/18
TI  - From Machines to Insights: GE Predix Leading the Industrial Internet Transformation
BT  - Proceedings of the 2025 International Conference on Hybrid Commerce, Human Capital, and Economic Dynamics (ICHCH 2025)
PB  - Atlantis Press
SP  - 383
EP  - 392
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-2-38476-585-0_44
DO  - 10.2991/978-2-38476-585-0_44
ID  - Zhang2026
ER  -