Proceedings of the MULTINOVA: First International Conference on Artificial Intelligence in Engineering, Healthcare and Sciences (ICAIEHS- 2025)

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Intelligent Automation in Cloud Computing: Leveraging AI for Efficiency Enhancement

Authors
Lalita Sharma1, Bhupesh Kumar Singh1, *, Sunil Pathak1, Naheeda Zaib2
1Amity University Rajasthan, NH-11C, Jaipur, Rajasthan, 303007, India
2Vivekanand Global University, Jagatpura, Jaipur, Rajasthan, 303012, India
*Corresponding author. Email: bksingh@jpr.amity.edu
Corresponding Author
Bhupesh Kumar Singh
Available Online 7 October 2025.
DOI
10.2991/978-94-6463-852-3_2How to use a DOI?
Keywords
Cloud Computing; Deep Learning; Efficiency Optimization
Abstract

Cloud computing has transformed IT infrastructure by offering scalable, flexible, and affordable data storage and computational capability. However, the exponential expansion of cloud services has made resource management difficult. AI in cloud computing improves productivity via intelligent automation, according to this study. Through AI-driven automation, cloud environments may maximise system performance, security, latency, and resource allocation. In order to enhance cloud decision-making, this study investigates machine learning, deep learning, and reinforcement learning techniques. The effectiveness of AI-powered automation solutions is assessed via a comparative analysis of existing research. Additionally, an approach for optimising cloud resource utilisation that combines predictive technology and mathematical models is presented in this work. The experimental findings show how AI-driven automation greatly increases system dependability, lowers operating costs, and boosts efficiency. Lastly, this paper suggests future options for AI-driven cloud computing while discussing significant obstacles such computational complexity and data privacy issues. When compared to all other models, Bi-Gru’s performance yields superior results.

Copyright
© 2025 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 MULTINOVA: First International Conference on Artificial Intelligence in Engineering, Healthcare and Sciences (ICAIEHS- 2025)
Series
Advances in Intelligent Systems Research
Publication Date
7 October 2025
ISBN
978-94-6463-852-3
ISSN
1951-6851
DOI
10.2991/978-94-6463-852-3_2How to use a DOI?
Copyright
© 2025 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  - Lalita Sharma
AU  - Bhupesh Kumar Singh
AU  - Sunil Pathak
AU  - Naheeda Zaib
PY  - 2025
DA  - 2025/10/07
TI  - Intelligent Automation in Cloud Computing: Leveraging AI for Efficiency Enhancement
BT  - Proceedings of the MULTINOVA: First International Conference on Artificial Intelligence in Engineering, Healthcare and Sciences (ICAIEHS- 2025)
PB  - Atlantis Press
SP  - 4
EP  - 20
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-852-3_2
DO  - 10.2991/978-94-6463-852-3_2
ID  - Sharma2025
ER  -