Revolutionizing Cloud Services with AI/ML and Generative AI: A Comprehensive Analysis of Cutting-Edge Techniques

Abstract

Against the backdrop of digitalization and travel restrictions, the global cloud computing market is poised to grow to $342.5 billion by 2025. Cloud service providers across the globe are revolutionizing their infrastructure, services, and applications to capture a major chunk of the market.In this modern era, AI/ML has found numerous practical applications. Out of them, Neural Networks (NNs) have shown enormous success in the domains of computer vision, natural language processing, sequence generation, etc. In this report, an exhaustive literature survey has been performed to understand how the existing cloud infrastructure and cloud services are using cutting-edge AI/ML capabilities to maximize their presence and the challenges still present that require in-depth analysis.The focus of this report will be on the cutting-edge, end-to-end generative models, graph learning, and AI/ML in 5G cloud services for next-generation cloud services.Generative modeling refers to the process of learning the structure of some target data and generating new data that resembles the training data. Many generative modeling procedures have been presented in machine learning literature, like Markov models for temporal modeling, restricted Boltzmann machines, generative adversarial networks, variational autoencoders, etc. In particular, deep learning has proven to be a powerful tool in dealing with such generative tasks.This article covers various aspects of cloud services using AI/ML, generative models, their applications, their training, challenges with emerging technologies, and best practices and guidelines.