AI/ML in Cloud Computing and Software Testing: Innovations Driving the Digital Age

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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Publication Details

Journal
International Journal of Advances in Engineering and Management
Published
2025-08-01
DOI
https://doi.org/10.35629/5252-0708361366
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

AI/ML in Cloud Computing and Software Testing: Innovations Driving the Digital Age

Balaji Singaram
International Journal of Advances in Engineering and Management
Big Data and Business Intelligence
article

AI/ML in Cloud Computing and Software Testing: Innovations Driving the Digital Age

Balaji Singaram
article en

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.

International Journal of Advances in Engineering and ManagementVol. 7(8)
Klinik und Poliklinik für Psychosomatik und Psychotherapie (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 65%
Big Data and Business Intelligence
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