European Journal of Computer Science and Information Technology (EJCSIT)

EA Journals

AI-Powered Cloud Infrastructure and Data Platforms: Transforming Enterprise Operations

Abstract

This article examines the transformative impact of AI integration in cloud infrastructure and data platforms across enterprise operations. The article analyzes how organizations leverage AI-driven solutions to enhance cloud infrastructure performance, focusing on real-world implementations and quantifiable outcomes. Through comprehensive case studies spanning major cloud providers including AWS, Azure, and GCP, the article demonstrates significant improvements in resource utilization, system efficiency, and operational cost reduction. The investigation encompasses various aspects of cloud infrastructure, including monitoring systems, predictive maintenance, security frameworks, and resource allocation strategies. The article reveals that AI-powered cloud systems consistently outperform traditional approaches across multiple performance metrics, particularly in areas of workload prediction, threat detection, and automated resource management.

Keywords: AI-Powered Cloud Infrastructure, Cloud Security Architecture, Enterprise Computing, Predictive Maintenance, resource optimization

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This work by European American Journals is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License

 

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Email ID: editor.ejcsit@ea-journals.org
Impact Factor: 7.80
Print ISSN: 2054-0957
Online ISSN: 2054-0965
DOI: https://doi.org/10.37745/ejcsit.2013

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