Journal Issues

Abstract- The convergence of Artificial Intelligence (AI) and Machine Learning (ML) technologies with Cloud and Software Testing Automation has fundamentally transformed how organizations operate their IT infrastructures. Processes of automation of complicated procedures make it possible to allocate resources more productively, ensure higher security levels, and construct more rapid cycles of software development and testing. The task of this paper is to demonstrate how these technologies are being used today in the cloud and testing space with pertinent examples from companies such as Netflix and Microsoft. The paper showcases the impact of AI/ML on the cloud ecosystem as well as the issues, solutions and vision in terms of the future developments associated with these technologies. Also, the paper examines the challenges associated with cost, data protection, and the requirement for greater specialists, and addresses the future possibilities including distributed AI architectures along with more powerful cloud management platforms.

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