A Review of Artificial Intelligence Applications in Cloud Operations: Automation, Optimization, and Future Directions

Implementation of Artificial Intelligence (AI) within the cloud operations has transformed the way organizations operate, manage, optimize, and secure their IT infrastructures. This survey reviews how AI-powered automation and optimization can transform the cloud world, with the incorporation of smart, self-healing, and flexible systems as a replacement of the manual management approach. The primary AI technologies—predictive analytics, machine learning, and deep learning—allow for proactive anomaly detection, real-time resource allocation, and dynamic scaling, all of which boost operational effectiveness, lower costs, and improve service dependability. This paper explores how AI is being used in cloud processes over the years, starting with an on-premises origin to a distributed model, edge model, and hybrid models and explains how AIOps is emerging to manage IT automatically. Moreover, it covers policy-based governance, automation in compliance, and cloudless computing optimization as policy issues that people may support using AI. The existing problems, including the complexity of integration and security are taken into account together with the trends that appear, including the AI-optimized infrastructure and democratization of AI with the help of cloud platforms. The review ends by giving future outlines, appreciating the persistent merging of AI and cloud technologies as an engine of innovation, nimbleness, and ecologically viable digital change in business situations