AI IN CLOUD COMPUTING: ENHANCING SERVICES AND PERFORMANCE

Artificial Intelligence (AI) and Cloud Computing are two of the most transformative technologies of the 21st century, and their convergence is reshaping industries across the board. This article explores the synergies between AI and cloud computing, examining how AI enhances cloud services in areas such as resource optimization, automatic scaling, and security. It delves into key use cases and applications, including predictive maintenance, intelligent data management, and automated cloud operations. The technical implementation of AI in cloud environments is discussed, covering popular frameworks, best practices, and real-world examples. The article also addresses the challenges of data privacy, cost optimization, and skill gaps, proposing potential solutions. Finally, it looks at future directions, including edge computing, AI-driven DevOps, and federated learning, providing a comprehensive overview of the current state and future prospects of AI in cloud computing.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-21
DOI
https://doi.org/10.5281/zenodo.13353680
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
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article

AI IN CLOUD COMPUTING: ENHANCING SERVICES AND PERFORMANCE

Zenodo (CERN European Organization for Nuclear Research)
Cloud Computing and Resource Management
article

AI IN CLOUD COMPUTING: ENHANCING SERVICES AND PERFORMANCE

article en

Abstract

Artificial Intelligence (AI) and Cloud Computing are two of the most transformative technologies of the 21st century, and their convergence is reshaping industries across the board. This article explores the synergies between AI and cloud computing, examining how AI enhances cloud services in areas such as resource optimization, automatic scaling, and security. It delves into key use cases and applications, including predictive maintenance, intelligent data management, and automated cloud operations. The technical implementation of AI in cloud environments is discussed, covering popular frameworks, best practices, and real-world examples. The article also addresses the challenges of data privacy, cost optimization, and skill gaps, proposing potential solutions. Finally, it looks at future directions, including edge computing, AI-driven DevOps, and federated learning, providing a comprehensive overview of the current state and future prospects of AI in cloud computing.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 46%
Cloud Computing and Resource Management
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AI IN CLOUD COMPUTING: ENHANCING SERVICES AND PERFORMANCE · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS