Authors : Kishan Raj Bellala

Volume/Issue : Volume 10 - 2025, Issue 8 - August

Google Scholar : https://tinyurl.com/47xch8w9

Scribd : https://tinyurl.com/mry9jf2u

DOI : https://doi.org/10.38124/ijisrt/25aug947

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Abstract : Organizations must perform cloud migration to achieve scalability, cost-efficiency, and improved performance. The migration process of workloads, security protection, and resource optimization creates significant challenges for organizations. Artificial Intelligence functions as a transformative tool that optimizes and facilitates cloud migration operations. This paper examines the application of AI in cloud migration, focusing on its capabilities for data analysis, performance optimization, security improvements, and automation. The research investigates how AI algorithms enhance workload distribution, resource allocation, and compliance management in cloud computing systems. The paper examines how AI algorithms enhance workload distribution, resource allocation, and compliance in cloud environments. The paper discusses how AI-powered Infrastructure as Code (IaC) enables automated cloud deployment and evaluates the effects of AI-assisted migration on telecommunications and other industries. The advantages of AI migration come with ongoing privacy risks and integration complexities. The paper outlines research directions for future work to address current limitations and enhance AI-based cloud migration approaches.

Keywords : Artificial Intelligence, Cloud Computing, Cloud Migration, AI Optimization, Security, Distributed Systems.

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