Automated Machine Learning for Information Management and Information Systems: An Overvie

Recently, linking Machine Learning (ML) to the new trend of Automated Machine Learning (AutoML) is a vital step towards improving the performance of information systems. This research comprehensively explores this new trend, which promotes innovation in ML technologies, facilitates computing, and improves data understanding and utilization. In addition, the study investigates the significant impact of AutoML in the field of Information Systems Management. This paper also discusses the benefits and applications of AutoML, focusing on how these applications contribute to tasks such as automatic data processing, improving data quality, simplifying data integration, and facilitating information retrieval. Moreover, addressing ethical issues, ensuring data security, protecting privacy, validating models are important tasks that arise when using AutoML, which need to be focused on. Looking to the future, we are taking full advantage of AutoML capabilities to innovate information and systems management, make super discoveries, and make more accurate predictions. The purpose of this study is to show the importance, possibilities, and prospects of using AutoML in various information systems.