USE OF ARTIFICIAL INTELLIGENCE TOOLS IN CLOUD MIGRATION OF INFORMATION SYSTEMS PLANNING

Abstract

Modern approaches to the use of artificial intelligence tools in planning cloud migration of information systems are analyzed. It is shown that in the context of digital transformation, cloud migration is increasingly acquiring the characteristics of the task of intelligent decision support, within which the methods of machine learning, predictive analytics, data mining and automation of individual stages of migration are used. Based on the analysis of the 2025–2026 studies, it was found that AI tools are already demonstrating effectiveness in preparing data for migration, analyzing architectural dependencies, optimizing resources, supporting microservice transformation, and supporting post-migration operation. At the same time, it has been found that most of the available works are focused on separate sub-processes or related tasks, while holistic intelligent models of cloud migration planning are not yet sufficiently formed. The prospects of further research in the direction of building integrated systems of intellectual support for migration solutions are substantiated.