Challenges and Solutions for AI in Cloud Computing: A Technical Analysis

Sanjeev Kumar Pellikoduku

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2025, vol. 11, issue 2, 399-404

Abstract: This article explores the critical intersection of Artificial Intelligence and cloud computing, examining the transformative impact of their integration across various industries. The research presents a comprehensive analysis of key challenges faced by organizations implementing AI in cloud environments, including security concerns, operational complexities, and ethical considerations. The study investigates solutions for data privacy protection, model security, integration complexity, and performance monitoring while addressing bias, fairness, and explainability in AI systems. Through extensive analysis of real-world implementations and industry research, this paper provides practical frameworks and evidence-based solutions for organizations at different stages of their AI cloud integration journey. The findings demonstrate significant improvements in operational efficiency, cost reduction, and system performance when appropriate strategies are implemented, while highlighting the importance of ethical considerations and governance frameworks in ensuring sustainable AI deployment in cloud environments.

Keywords: Cloud Computing Integration; Artificial Intelligence Security; Ethical AI Framework; Performance Optimization; Machine Learning Infrastructure (search for similar items in EconPapers)
Date: 2025
Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT25112372
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrcseit.com/home/article/view/CSEIT25112372 Article URL (text/html)
https://ijsrcseit.com/home/article/download/CSEIT25112372/CSEIT25112372 Full text (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:jbh:ijsrcs:v11:y2025:i2:id:1107

DOI: 10.32628/CSEIT25112372

Access Statistics for this article

More articles in International Journal of Scientific Research in Computer Science, Engineering and Information Technology from International Journal of Scientific Research in Computer Science, Engineering and Information Technology
Bibliographic data for series maintained by Pankaj Sharma ().