AI Enhanced Cloud DevOps and Automation

Ranjith Rayaprolu ()

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, 2024, vol. 4, issue 1, 362-381

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.

Keywords: Cloud DevOps; Artificial Intelligence (AI); Automation; Machine Learning (ML); Intelligent Automation; Continuous Integration and Delivery (CI/CD) with AI; Fifth Industrial Revolution and DevOps (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://newjaigs.com/index.php/JAIGS/article/view/265 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:das:njaigs:v:4:y:2024:i:1:p:362-381:id:265

Access Statistics for this article

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 is currently edited by Justyna Żywiołek

More articles in Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 from Open Knowledge
Bibliographic data for series maintained by Open Knowledge ().