International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

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

Call for Paper Volume 16 Issue 2 April-June 2025 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.

AI-Driven Dependency Mapping: Revolutionizing Enterprise Cloud Migration

Author(s) Krupal Gangapatnam
Country United States
Abstract AI-driven dependency mapping emerges as a transformative solution for enterprise cloud migration challenges. By leveraging advanced machine learning algorithms and automation, organizations can now navigate the complexities of modern IT environments with greater precision and efficiency. The solution addresses critical challenges in legacy system integration, microservices architecture management, and cross-platform dependencies while ensuring compliance and security requirements are met. Through automated discovery, intelligent analysis, and dynamic adaptation capabilities, organizations can achieve faster migrations, reduced risks, and improved operational efficiency throughout their digital transformation journey.
Keywords AI-driven dependency mapping, cloud migration automation, enterprise modernization, system dependency management, cloud transformation
Field Computer > Data / Information
Published In Volume 16, Issue 2, April-June 2025
Published On 2025-04-28
Cite This AI-Driven Dependency Mapping: Revolutionizing Enterprise Cloud Migration - Krupal Gangapatnam - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.4212
DOI https://doi.org/10.71097/IJSAT.v16.i2.4212
Short DOI https://doi.org/g9gx68

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