Unleashing Intelligence: The Intersection of Cloud Computing, AI, and ML

Authors

  • Joel Lopes Department of Computer Science, Independent researcher, Email: joellopes@ieee.org Author
  • Karen Scarfone Department of Computer Science, Independent researcher Author

Keywords:

Cloud Computing, Artificial Intelligence, Machine Learning, Convergence, Innovation, Scalability, Automation, Decision-making, Industry Transformation.

Abstract

This paper explores the dynamic synergy between cloud computing, artificial
intelligence (AI), and machine learning (ML), highlighting how their convergence drives
innovation across various domains. We delve into the transformative potential of cloud
infrastructure in enabling scalable and accessible AI/ML solutions, facilitating data storage,
processing, and model deployment. Moreover, we examine the pivotal role of AI/ML algorithms
in optimizing cloud resource utilization, enhancing automation, and powering intelligent decisionmaking. Through case studies and insights, we illustrate the profound impact of this intersection
on industries such as healthcare, finance, and manufacturing, envisioning a future where intelligent
systems fueled by cloud technologies redefine the boundaries of possibility. 

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Published

2024-05-28

How to Cite

Unleashing Intelligence: The Intersection of Cloud Computing, AI, and ML. (2024). International Journal of Advanced Engineering Technologies and Innovations, 1(3), 326-358. http://ijaeti.com/index.php/Journal/article/view/322