Skip to main navigation menu Skip to main content Skip to site footer

Articles

Vol. 26 No. 01 (2026): Enigma : The Multidisciplinary International Journal

SYNERGIZING ARTIFICIAL INTELLIGENCE AND CLOUD COMPUTING: TRANSFORMATIONS, APPLICATIONS, AND FUTURE DIRECTIONS

Cite this as:
Enigma : The Multidisciplinary International Journal 2026 ;Vol. 26
Published
2026-02-17

Summary

The revolutionary effects of artificial intelligence (AI) on cloud computing are examined in this research. As cloud services expand quickly, artificial intelligence (AI) presents new ways to improve resource allocation, optimize infrastructure management, boost security, and enable intelligent automation. We examine the main applications, advantages, and difficulties of integrating AI into cloud services, offering a prediction on how AI and cloud computing will develop in tandem in the future. To offer practical insights, case studies from top cloud service providers like Google Cloud, Microsoft Azure, and Amazon Web Services (AWS) are analyzed.

References

  1. [1] Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R. H., Konwinski, A., Lee, G., Patterson, D. A., Rabkin, A., & Stoica, I. (2010). A view of cloud computing. Communications of the ACM.
  2. [2] Dean, J., & Ghemawat, S. (2004). MapReduce: Simplified data processing on large clusters. Communications of the ACM, 51(1), 107-113.
  3. [3] Chollet, F. (2017). Deep learning with Python. ManningPublications.
  4. ISBN: 9781617294433
  5. [4] Sze, V., Chen, Y., Yang, T. J., & Emer, J. S. (2017). Efficient processing of deep neural networks: A tutorial and survey. Proceedings of the IEEE, 105(12), 2295-2329.
  6. [5] Zhou, X., & Lee, J. (2021). The integration of AI and cloud computing in smart cities: A review. Journal of Cloud Computing: Advances, Systems, and Applications.
  7. [6] Amazon Web Services (AWS). (2023). Introduction to machine learning on AWS. Retrieved from https://aws.amazon.com/machine-learning .
  8. [7] Khan, A. B., & Qiu, T. (2018). A survey on cloud computing and its applications in artificial intelligence. International Journal of Cloud Computing and Services Science.
  9. [8] Bertino, E., Sandhu, R., & Jajodia, S. (2019). Cloud computing and data privacy: A survey. Computing Research Repository.
  10. [9] OpenAI. (2023). Cloud-based AI tools and APIs. Retrieved from https://openai.com
  11. OpenAI provides powerful APIs for AI-based applications, including natural language processing, and this resource highlights how cloud-based models can be utilized across different platforms.
  12. [10] Mayer, M. A., & Dobson, D. S. (2022). Scalable machine learning in the cloud: Enabling next-generation AI applications. Journal of Artificial Intelligence Research.

Similar Articles

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)