Abstract
Artificial intelligence (AI) is increasingly being implemented in many applications in various sectors such as healthcare, education, security and other areas of human activity. Recently, there has been a rapid development of cloud computing technologies, which has led to the introduction of artificial intelligence into cloud computing to improve and optimize the technological services provided. The deployment of artificial intelligence in cloud applications has led to the creation of autonomous computing, with the help of which systems achieve the declared results without human intervention. Despite the amount of research on autonomous computing, the work of implementing AI in cloud computing to improve its performance and resource allocation remains a fundamental challenge. Our research highlights the various manifestations, roles, trends and challenges associated with AI-based cloud computing models. Future directions for the use of AI in next-generation computing for new computing paradigms such as cloud environments are proposed. The application of algorithms and methods based on artificial intelligence, cost savings, automation, reduction of energy consumption and solving complex problems of cloud computing are the main conclusions presented in our article.
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