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

doi:10.54254/2977-3903/3/2023035

Research Article

Open access

Published on 23 October 2023

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Mohammed,K. (2023). AI in cloud computing: Exploring how cloud providers can leverage AI to optimize resource allocation, improve scalability, and offer AI-as-a-service solutions. Advances in Engineering Innovation,3,22-26.

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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.

https://doi.org/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

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References

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

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About volume

Journal：Advances in Engineering Innovation

Volume number: Vol.3

ISSN：2977-3903(Print) / 2977-3911(Online)

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