Advances in Engineering Innovation

Advances in Engineering Innovation

Vol. 3, 23 October 2023


Open Access | Article

AI in cloud computing: Exploring how cloud providers can leverage AI to optimize resource allocation, improve scalability, and offer AI-as-a-service solutions

Khatoon Mohammed * 1
1 University of North Florida

* Author to whom correspondence should be addressed.

Advances in Engineering Innovation, Vol. 3 Advances in Engineering Innovation,
Published 23 October 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Khatoon Mohammed. AI in cloud computing: Exploring how cloud providers can leverage AI to optimize resource allocation, improve scalability, and offer AI-as-a-service solutions. AEI (2023) Vol. 3. DOI: 10.54254/2977-3903/3/2023035.

Abstract

The integration of Artificial Intelligence (AI) in cloud computing heralds a transformative phase for the tech industry. As cloud infrastructures become more sophisticated, the potential of optimizing these services using AI has captured significant attention. This study aimed to explore how cloud providers can leverage AI to optimize resource allocation, enhance scalability, and offer innovative AI-as-a-Service (AIaaS) solutions. Through a mixed-method approach, insights were gleaned from companies that have adopted AI in their cloud architectures. The findings elucidate that AI-driven methods have led to substantial operational savings and a reduction in downtimes. Moreover, the proliferation of AIaaS models is particularly beneficial for mid-level enterprises and startups. However, concerns around data privacy, potential biases, and integration costs emerge as significant challenges. Future work in this domain promises to delve deeper into these challenges, aiming for a harmonious synergy between AI and cloud computing.

Keywords

artificial intelligence, cloud computing, AI-as-a-Service, resource allocation, scalability

References

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10. Smith, A., & Maheshwari, P. (2019). Scalability in the age of AI: Challenges and solutions. Computing Today, 15(7), 12-21.

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
ISBN (Print)
ISBN (Online)
Published Date
23 October 2023
Series
Advances in Engineering Innovation
ISSN (Print)
2977-3903
ISSN (Online)
2977-3911
DOI
10.54254/2977-3903/3/2023035
Copyright
© 2023 The Author(s)
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated