Optimizing Cloud Resource Management Through AI Enhancing Efficiency and Scalability in Modern Computing Environments

The term “cloud computing“ describes a technique that allows both individuals and organisations to access and utilise resources in a way that has changed and revolutionised society. However, because these environments are dynamic, heterogeneous, and scalable, effective resource management in cloud computing systems remains a major difficulty. Artificial intelligence (AI) technology has emerged as a workable solution to these problems, one that can improve resource management efficiency. This study aims to provide an overview of AI-based approaches for effective resource management in cloud computing services, applications, and systems. This study aims to provide a comprehensive analysis of the ways in which artificial intelligence and cloud computing are impacting education, with a focus on accessibility, effectiveness, and the calibre of the educational process. We found that artificial intelligence led to a 25% improvement in the personalisation of educational information, and cloud computing led to a 60% rise in the capacity of simultaneous users. This was discovered through a mixed-research methodology. Additionally, without compromising the quality of the service, there was a notable decrease in the number of administrative errors and improvements in the scalability of the environment. The results show that the use of these technologies improves the quality of education as a whole in addition to increasing the efficacy and accessibility of educational experiences. In a world where technology is growing at a breakneck pace, this study presents itself as a crucial instrument for propelling future advancements and improvements in the education sector. It accomplishes this by contrasting these results with those of past studies, highlighting the technologies' beneficial synergies.