Applications of AI in Cloud Computing: Transforming Industries and Future Opportunities

Authors

  • Vijay Ramamoorthi   Independent Researcher, USA

DOI:

https://doi.org/10.32628/CSEIT2390910

Keywords:

Artificial Intelligence in Cloud Computing, AI-as-a-Service, Big Data Analytics, Real-Time Decision-Making, Predictive Modeling, Smart Cities, Quantum Computing, Sustainability in AI.

Abstract

The convergence of Artificial Intelligence (AI) and cloud computing has emerged as a transformative paradigm, driving innovation and operational efficiency across industries. AI-as-a-Service (AIaaS) platforms, such as AWS, Microsoft Azure, and Google Cloud AI, have democratized access to advanced analytics, enabling businesses of all sizes to leverage powerful machine learning algorithms. This paper explores the multifaceted applications of AI in cloud computing, emphasizing its role in big data analytics, real-time decision-making, and predictive modeling. Key use cases across healthcare, finance, retail, and smart cities are discussed, showcasing the layered integration of AI across smart devices, network infrastructure, and cloud platforms. Additionally, the paper highlights emerging trends, including quantum-enhanced cloud AI, while addressing challenges such as data privacy, algorithmic bias, and sustainability. By presenting a comprehensive review of technological frameworks and real-world implementations, this study underscores the potential of AI-cloud integration in reshaping industries and fostering global innovation.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-08-30

Issue

Volume 9, Issue 4, July-August-2023

Section

Research Articles

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How to Cite

[1]
Vijay Ramamoorthi , " Applications of AI in Cloud Computing: Transforming Industries and Future Opportunities" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 4, pp.472-483, July-August-2023. Available at doi : https://doi.org/10.32628/CSEIT2390910