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AI Enhanced Cloud DevOps and Automation

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  • Ranjith Rayaprolu

Abstract

Modern cloud computing and DevOps widely embrace AI technology, which accelerated the constantly changing and developing paradigm and reached new heights of productivity, expansibility, and stability in computer science. Subsequently, cloud-based DevOps and the automation of workloads enable further discovery of promising AI components, its advantages and risks observed, and the prospects for advancing organization’s digital transformation. This paper explores and supports, by reviewing case studies and trends, how AI can complement and extend human capacities, optimize operations, and improve choices in a more constant deployment of function.

Suggested Citation

  • Ranjith Rayaprolu, 2024. "AI Enhanced Cloud DevOps and Automation," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 4(1), pages 362-381.
  • Handle: RePEc:das:njaigs:v:4:y:2024:i:1:p:362-381:id:265
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