Investigating the Potential of AI-Driven Data Analytics for eARMS: A Survey-Based Research

The aim of this paper is on the role of AI powered data analysis in the decision-making processes of information systems such as ERP systems. We reviewed the literature, technological aspects, and case studies that pertain to the area of embedding AI analytics into ERP systems, or in any compliance with the ERP design. We consider the weights and downsides of the suggested AI analytics sales model, potential ethical issues, privacy concerns, other technical issues, and foresight research. We focus on bridging this information gap by increasing the knowledge of intersection analysis and artificial intelligence that structures ERP systems, describing how ERP systems can benefit along with the shortcomings in this area and how they can be addressed in further research. At the same time, we address the practical aspects of the implementation of AI-guided methods in everyday business activities and evaluate their applicability to various sectors. By analyzing the latest trends, we intend to add value to the existing body of knowledge by addressing emerging opportunities and challenges in the effective utilization of AI in enterprise systems. Our review also indicates the necessity of a cross-discipline agenda in order to resolve current issues and shape the growth of this fast-changing domain.