Utilizing AI and Machine Learning in Cloud Systems for Advanced Automation

Abstract

Machine learning has emerged as a stronger approach offering more automated support across systems at scale. This research focuses on adopting the AI and ML for attaining the superior level of automation in the cloud systems, describes the better operational efficiency, scalability and decision making maintained by using the AI and ML in the cloud systems. Machine Learning and AI: Cloud systems can utilize either AI or ML algorithms that analyze huge datasets, predict patterns, optimize resources, or perform complex functions with minimal human intervention. To minimize the Cost, maximize the Accuracy, and adapt the workloads on-the-fly in cloud systems, intelligent automation techniques such as deep learning, reinforcement learning, neural networks etc are being widely used, which are being explored in this paper. Also, the research paper emphasizes practical examples and uses of AI-powered automation in different sectors such as healthcare, finance, and manufacturing. The reports show that when enterprises integrate AI and ML directly into their cloud infrastructures, they increase worker productivity, reduce time-to-market and improve customer experience. The paper also discusses challenges and limitations joined with implementing AI driven automation including data privacy, calculation individual bias’ and the overhead of calculation. In summary, the research explores best practices for leveraging AI and ML to achieve high-impact cloud automation with minimized risks.