Leverage Ai To Improve Cloud Modernization

Abstract

Cloud modernization is critical to any organization planning to increase IT agility as well as optimization of costs in the current technological disruption. This paper discusses AI as a service in the context of cloud modernization, specifically of infrastructure, capacity, and operation. AI technologies used in industries include predictive analytics, resource allocation, and secure connectivity reducing potential problems before they occur and therefore cutting instances of production interruptions. Nonetheless, there are some barriers when it comes to implementing AI in the process of cloud modernization. This work splits cloud modernization into approaches such as replatforming, refactoring, and containerization depending on apps’ requirements and business goals. It also presents and analyzes the place of AI in strengthening the safety of clusters, data stock, and automatization benefits in numerous fields such as healthcare, retail, finance, and manufacturing. Certain hindrances such as data elaborate and the dearth of experts in the field of AI should not deter organizations from incorporating AI in cloud strategies because of the advantages such as cost reduction, flexibility, and even increased efficiency. With proper negation of challenges by accurate model governance, adequate data management, and proper security, organizations can promote competitive benefits and excellent operation in the fully developed digital economy through artificial intelligence’s cloud modernization.