The Role of Artificial Intelligence in Shaping the Future of Cloud Technologies Benefits and Barriers
The integration of Artificial Intelligence (AI) in cloud technologies has significantly transformed the landscape of cloud management, security, and efficiency. This study explores the role of AI in enhancing cloud operations, focusing on its applications in cloud security, resource optimization, multi-cloud management, edge computing, and sustainability. The study provides a comprehensive analysis of how AI-driven solutions, such as machine learning models and automated systems, are being utilized to improve threat detection, optimize workloads, and reduce energy consumption in cloud environments. By leveraging AI, cloud providers are able to offer more dynamic, adaptable, and intelligent solutions, ensuring better performance, scalability, and security. While AI enhances the effectiveness of cloud systems, it also presents several challenges, including integration complexities, security concerns, and ethical issues related to data privacy. The study further delves into the barriers faced by organizations in adopting AI technologies, the computational demands of AI models and the lack of skilled workforce to implement these advanced technologies. To illustrate these concepts, the study includes various visual aids, comparing traditional cloud management approaches with AI-enhanced solutions. The study highlights both the transformative benefits and the inherent limitations of AI in cloud computing, offering a balanced perspective on its future potential and practical implementation. By addressing both the opportunities and challenges, this study provides valuable insights into how AI can shape the future of cloud technologies and the considerations that must be taken into account for its successful integration.
Authors
- Padma Rama Divya Achanta
Institutions
- Cloud Computing Center (CN)
Publication Details
- Published
- 2025-05-09
- DOI
- https://doi.org/10.1109/ginotech63460.2025.11076677
- Citations
- 6
- Primary Topic
- ICT Impact and Policies
- Type
- article
- Field-Weighted Citation Impact
- 6.81