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@article{182132,
        author = {NIkhil Srivastava},
        title = {Cloud Computing Technology in Artificial Intelligence (AI): A Comprehensive Review},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {1120-1122},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182132},
        abstract = {The convergence of cloud computing and Artificial Intelligence (AI) is rapidly reshaping the technological landscape across disciplines. Cloud computing provides scalable infrastructure, storage, and computing power that enable AI systems to process large-scale data efficiently and cost-effectively. This review offers a comprehensive analysis of how cloud technologies enhance AI model development, training, and deployment. It discusses service models, leading platforms, real-world applications, and major benefits, while critically evaluating key challenges such as data security, ethical concerns, and compliance with international regulations. Future directions such as federated learning, serverless AI, and edge-cloud collaboration are explored to provide a holistic perspective. The review underscores the transformative potential of integrating cloud computing with AI, offering insights for both academia and industry.},
        keywords = {Cloud Computing, Artificial Intelligence, Machine Learning, Federated Learning, Edge AI, SaaS, IaaS, Cloud Security, Cloud-AI Integration},
        month = {July},
        }