Innovative Applications of Generative AI in AWS Cloud Computing: Analyzing Resource Optimization and Predictive Analytics for Enterprise Solutions

Neharika Navya Sri Pravallika

Authors

Neharika Navya Sri Pravallika Retired Professor, Banaras Hindu University, India. Author

Keywords:

Generative AI, AWS Cloud Computing, Resource Optimization, Predictive Analytics, Enterprise Solutions, Cost Efficiency, Automation

Abstract

The integration of generative artificial intelligence (AI) with AWS cloud computing has led to significant advancements in resource optimization and predictive analytics for enterprise solutions. This paper explores innovative applications of generative AI in AWS services, focusing on enhancing resource management, minimizing costs, and enabling real-time predictive insights. By leveraging generative AI capabilities, enterprises can automate workload balancing, improve fault tolerance, and design cost-efficient cloud architectures. A literature review examines pre-2021 studies on cloud-based AI technologies, highlighting challenges and opportunities. Quantitative analyses supported by charts, graphs, and a predictive analytics formula provide empirical evidence of generative AI’s impact on AWS environments.

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