To achieve optimal resource consumption and the cloud environment’s overall performance, organizations must manage multi-cloud deployments efficiently and overcome the related challenges. Therefore, this paper aims to understand how the application of predictive AI analytics can improve the management of resources and performance in environments that include multiple clouds. It discusses Cloud Management Platforms, Service Performance Management, cost optimization tools, and AI-based predictive analysis, among others. This paper will focus on the strengths and weaknesses of multi-cloud settings with an emphasis on the manner in which predictive analytics can be helpful in overcoming some of the principal issues arising from these settings. The case study also shows that newer tools such as VMware vRealize Suite, Datadog, and the AWS cost explorer, with embedded elements of artificial intelligence and machine learning, have revolutionized the scenario of predictive Cloud analytics.