Improving Data Access in Cloud Computing Environments through AI and Machine Learning

Abstract

Cloud computing environments have revolutionized data storage, processing, and access, offering scalability, flexibility, and cost efficiency. However, the rapid growth of data in cloud systems has introduced challenges related to data retrieval, access control, and management. Artificial Intelligence (AI) and Machine Learning (ML) are emerging as powerful tools to address these challenges by optimizing data access, enhancing security, and automating complex data management tasks. This paper explores how AI and ML can improve data access in cloud computing environments. We discuss the role of AI in facilitating efficient data retrieval, ensuring data security, and providing personalized data access experiences. Additionally, we delve into the application of ML algorithms in managing data traffic, predicting user behavior, and automating data classification in cloud systems.