Accelerating Intelligent Enterprise Engineering through Generative AI Secure Cloud Infrastructure and Industrial Systems
Abstract
The architecture of future enterprise systems is increasingly being reshaped by the convergence of generative artificial intelligence, secure cloud technologies, and digital commerce platforms. Modern enterprises operate in highly dynamic digital ecosystems where customer expectations, data volumes, and cyber threats evolve continuously. Traditional enterprise architectures, which rely on rigid monolithic systems and static business rules, are no longer sufficient to support real-time personalization, intelligent automation, and global-scale digital transactions. Generative AI introduces a transformative capability by enabling systems to produce content, code, designs, insights, and decision recommendations dynamically, thereby augmenting human decision-making and operational efficiency. Secure cloud technologies provide the foundational infrastructure that ensures scalability, resilience, and security through distributed computing, zero-trust models, and encrypted data workflows. Digital commerce platforms act as the transactional backbone of modern economies, integrating payment systems, supply chain networks, customer engagement tools, and analytics engines into unified ecosystems. The integration of these three domains enables the creation of adaptive enterprise systems capable of self-optimization, predictive intelligence, and autonomous service delivery. However, this convergence also introduces new challenges in governance, ethical AI usage, cybersecurity, and data integrity. This essay explores the conceptual foundations, existing literature, and methodological frameworks for designing next-generation enterprise systems, emphasizing interoperability, trust, scalability, and intelligence as core architectural principles
Article Information
Journal |
International Journal of Science, Research and Technology |
|---|---|
Volume (Issue) |
Vol. 9 No. 3 (2026): International Journal of Science, Research and Technology (IJSRAT) |
DOI |
|
Pages |
855-862 |
Published |
May 22, 2026 |
| Copyright |
All rights reserved |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Mallikarjuna Rao Vas (%2026). Accelerating Intelligent Enterprise Engineering through Generative AI Secure Cloud Infrastructure and Industrial Systems. International Journal of Science, Research and Technology , Vol. 9 No. 3 (2026): International Journal of Science, Research and Technology (IJSRAT) , pp. 855-862. https://doi.org/10.15662/IJSRAT.2026.0903006 |
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