Architecting Future Enterprise Systems with Generative AI Secure Cloud Technologies and Digital Commerce Platforms
Abstract
intelligent enterprise engineering by enabling adaptive, scalable, and autonomous digital ecosystems. In contemporary enterprise environments, organizations are increasingly required to respond to dynamic market conditions, complex supply chains, and data-intensive operational demands. Traditional software engineering approaches, which rely on static architectures and manual development cycles, are no longer sufficient to sustain competitiveness in such rapidly evolving contexts. Generative artificial intelligence introduces a paradigm shift by enabling systems to automatically produce software artifacts, design workflows, generate simulations, and assist in decision-making processes. When integrated with secure cloud infrastructure, these capabilities can be deployed at scale across distributed environments while maintaining reliability, elasticity, and performance efficiency. Cloud-native systems provide the computational backbone for hosting AI-driven services, allowing enterprises to dynamically allocate resources and manage workloads in real time. Industrial systems further extend this ecosystem into physical environments such as manufacturing plants, logistics networks, and energy grids, where real-world processes can be optimized through intelligent automation and predictive analytics. However, the convergence of these technologies also introduces significant challenges related to cybersecurity, interoperability, governance, and system complexity. Secure digital design principles such as zero-trust architecture, encrypted communication, and continuous monitoring are therefore essential to ensure safe and reliable operations. This integrated paradigm of generative AI, secure cloud infrastructure, and industrial systems forms the basis of next-generation intelligent enterprise engineering, enabling organizations to transition toward self-optimizing, continuously evolving, and highly resilient operational models
Article Information
Journal |
International Journal of Emerging Trends in Engineering and Management Research |
|---|---|
Volume (Issue) |
Vol. 11 No. 2 (2026): International Journal of Emerging Trends in Engineering and Management Research (IJETEMR) |
DOI |
|
Pages |
19636-19642 |
Published |
March 10, 2026 |
| Copyright |
All rights reserved |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Ole Petter Bang (%2026). Architecting Future Enterprise Systems with Generative AI Secure Cloud Technologies and Digital Commerce Platforms. International Journal of Emerging Trends in Engineering and Management Research , Vol. 11 No. 2 (2026): International Journal of Emerging Trends in Engineering and Management Research (IJETEMR) , pp. 19636-19642. https://doi.org/10.15662/ijetemr.2026.1102004 |
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