AI-Enabled Cloud Computing Optimization: Maximizing Resource Utilization, Scalability, and AI-as-a-Service Potential

Abstract : The use of Artificial Intelligence (AI) in cloud computing is a revolutionary era in the technology sector. With cloud infrastructures changing, the prospect of revolutionizing these services using AI has been of particular interest. This paper examines how cloud providers can use AI to maximize the utilization of resources, improve scalability, and provide innovative AI-as-a-Service (AIaaS) offerings. Through a mixture of approaches, information was accessed from companies which have incorporated AI into their cloud infrastructure. It is reported based on the results that AI-driven methods have achieved significant operational costs and reduced downtimes. Moreover, the innovation of AIaaS models has proven to be exceptionally effective for medium-sized businesses as well as small startups. Aside from that, privacy of data, potential bias, and cost of integration remain as actual concerns. More research in this area attempts to delve deeper into such challenges, creating a harmonious mix of AI and cloud computing.

Keywords: Artificial Intelligence, Cloud Computing, AI-as-a-Service, Resource Allocation, Scalability