Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{182448,
author = {Ruchi Raval and Prof. Vishnupant Potdar and Dr. Nagnath Biradar},
title = {The Impact of Generative AI on Operations and Cost Reduction in Cloud Infrastructure},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {12},
number = {2},
pages = {2279-2282},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=182448},
abstract = {This study investigates how generative artificial intelligence (GenAI) reshapes cloud infrastructure management by driving operational enhancements and lowering expenses. As enterprises accelerate their shifts to cloud-based models, integrating GenAI techniques offers distinctive avenues for systematic resource governance, dynamic workload orchestration, and predictive maintenance. By blending algorithmic creativity with data-driven analytics, GenAI empowers organizations to automate routine tasks, optimize utilization, and achieve measurable savings. This paper synthesizes current scholarship, presents a robust mixed-methods analysis, and shares illustrative case studies that demonstrate both theoretical and practical benefits, underscoring GenAI’s critical role in the future of efficient, cost-effective cloud operations.},
keywords = {Ai, Gen AI, operations, Cloud},
month = {July},
}
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