Published Paper Details:

Cloud computing is one of the most rapidly developing technologies that has transformed previously centralized systems. This piece examines the disruptive technologies that will define future cloud computing, including distributed architectures, AI-conducted transactions, and self-managing multiple-cloud systems. Some commonly used distributed architectures, such as edge computing and serverless computing, reduce processing time and latency by distributing data processing and reducing the need for real-time computations. AI augmentation enhances the basic orchestration of cloud services through patterns of analysis, self-repairing functionality, and load balancing of different workloads. At the same time, MLTM has new possibilities to help control the nuances in managing various cloud platforms, increase service effectiveness, and decrease negative impacts, such as downtimes. This paper is written to look into the delineation of the existing technological development, usage, consequences, and consideration for enterprises that utilize these innovations to enhance cloud infrastructure's scalability, agility, and cost-effectiveness. Next-gen solutions integrated with AI-driven automation and distributed cloud systems will bring a new course of cloud computation.