Hybrid Cloud Computing: Strategic Integration in the Digital Age with Artificial Intelligence

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Published: 2026-02-14
DOI: https://doi.org/10.15662/IJRPETM.2026.0901021
Keywords:
Hybrid Cloud, Artificial Intelligence, Machine Learning, Auto-scaling, Cloud Security, Digital Transformation, SaaS, IaaS

Main Article Content

Aashan Desai
Department of Computer Science, Pace University, NYC, USA
Rugved Gramopadhye
Department of Computer Science, University of Texas at Dallas, Dallas, USA
Tina Gada
Department of Computer Science, SUNY Oswego, Dallas, USA
Jash Shah
Department of Computer Science, Illinois Institute of Technology, Dallas USA

Abstract

The convergence of hybrid cloud computing and artificial intelligence (AI) is reshaping the landscape of enterprise IT infrastructure in the digital age. This paper presents a comprehensive analysis of how AI-driven strategies are revolutionizing hybrid cloud architectures, enabling organizations to achieve unprecedented levels of scalability, security, and operational efficiency. Through a structured literature review and quantitative analysis of adoption data across multiple global sectors, this study examines the synergy between machine learning workloads, intelligent auto-scaling mechanisms, and hybrid cloud deployment models. The findings reveal robust growth in AI-integrated cloud adoption across healthcare, finance, education, and government verticals, with large enterprises leading the transition. The paper further compares leading AI-augmented cloud platforms, presents a layered architectural model, and discusses security frameworks tailored for AI workloads in hybrid environments. Strategic implications for IT decision-makers, cloud architects, and researchers are outlined, along with future directions for autonomous cloud management systems.

Article Details

Issue

Vol. 9 No. 1 (2026): International Journal of Research Publications in Engineering, Technology and Management

Section

Articles

How to Cite

Hybrid Cloud Computing: Strategic Integration in the Digital Age with Artificial Intelligence. (2026). International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 9(1), 164-168. https://doi.org/10.15662/IJRPETM.2026.0901021

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