AI-Driven Cloud Services: Enhancing Efficiency and Scalability in Modern Enterprises

Authors

  • Gireesh Bhaulal Patil, Uday Krishna Padyana, Hitesh Premshankar Rai, Pavan Ogeti, Narendra Sharad Fadnavis

Keywords:

AI, CC, ML, EE, S, CS, MLaaS, AS, RAR, DM

Abstract

This research paper focuses on the discuss the use of AI in cloud services as well as its effectiveness and flexibility in today’s business world. The research examines the different AI technologies in the cloud structure, security, data management, and performance enhancement. The literature review reveals realistic enhancements to resource management, threat identification, auto-scaling, and general system performance of cloud solutions with concrete examples for all the improvements with the help of data analysis and case studies. From the presented results one can conclude that AI in cloud services deliver signification value to enterprises by providing safer, cheaper, and easily scalable services. However, there are still issues like the complexity of implementing, and ethical concerns that crop up, and thus academic research and innovation on this ever-growing filed has to continue.

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Published

30.03.2022

How to Cite

Gireesh Bhaulal Patil. (2022). AI-Driven Cloud Services: Enhancing Efficiency and Scalability in Modern Enterprises. International Journal of Intelligent Systems and Applications in Engineering, 10(1), 153–162. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6728

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Research Article

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