International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Intelligent Cost Optimization in Azure Using AI and Automation

Author(s) Shailaja Beeram
Country United States
Abstract With increasing cloud adoption, cost optimization has emerged as a strategic priority for enterprises. Managing cloud expenses effectively requires visibility, automation, and intelligence. Microsoft Azure provides a comprehensive suite of cost management and automation tools, enabling organizations to monitor, predict, and optimize resource consumption at scale. This paper explores AI-driven approaches to cost governance using Azure Cost Management, Automation Accounts, Machine Learning models, and Azure Advisor. It presents architecture and automation strategies for predictive scaling, budget enforcement, and FinOps integration. By leveraging artificial intelligence and automation, enterprises can achieve dynamic cost efficiency while maintaining performance and compliance across hybrid and multi-cloud environments.
Field Engineering
Published In Volume 7, Issue 5, September-October 2025
Published On 2025-10-09
DOI https://doi.org/10.36948/ijfmr.2025.v07i05.61076

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