AI-Powered Cloud Migration: Transforming Enterprise Modernization Strategies

Abstract

This article examines the strategic integration of artificial intelligence technologies within cloud migration and modernization initiatives across enterprise environments. By analyzing current implementation patterns and emerging frameworks, we demonstrate how AI-driven tools significantly enhance migration assessment, planning, and execution processes while reducing operational overhead and technical debt. The article explores how machine learning algorithms optimize application portfolio analysis, dependency mapping, and resource allocation prediction, enabling organizations to overcome traditional migration barriers. Furthermore, we investigate how automated containerization, infrastructure provisioning, and intelligent monitoring capabilities deliver measurable improvements in migration timelines and post-migration performance. Through multiple industry case studies, this article provides cloud architects and IT leaders with actionable insights on implementing AI-powered approaches to cloud transformation, addressing both technical and organizational considerations for successful modernization strategies. This article contributes to the growing body of knowledge at the intersection of artificial intelligence and cloud computing, offering a comprehensive framework for leveraging AI to drive efficient and resilient cloud adoption.