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

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.

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Publication Details

Journal
European Journal of Computer Science and Information Technology
Published
2025-04-15
DOI
https://doi.org/10.37745/ejcsit.2013/vol13n133946
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Krithika Selvarajan
European Journal of Computer Science and Information Technology
Big Data and Business Intelligence
article

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

Krithika Selvarajan
article en

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.

European Journal of Computer Science and Information TechnologyVol. 13(13)
University of Illinois Urbana-Champaign (US)
Openalex Percentile: Top 85%
Big Data and Business Intelligence
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AI-Powered Cloud Infrastructure and Data Platforms: Transforming Enterprise Operations — Krithika Selvarajan · European Journal of Computer Science and Information Technology (2025) | TGRS Research Map | TGRS