Artificial Intelligence Integration in Enterprise Master Data Management: A Paradigm Shift in SAP Ecosystems

Abstract

The integration of Artificial Intelligence in the enterprise master data management solutions represents a fundamental shift in that organizations can govern their foundational information assets. This paper explores the role of autonomous master data solutions within enterprise ecosystems and focuses on the impact of machine learning, natural language processing, and predictive analytics to manage the data standards, such as ISO 14224, master data quality, and data governance. Through the comparative evaluation of the implementation structure, evaluation, and conventional vs. Nonhansed approaches, research reveals significant reforms in operational efficiency, data accuracy, and business value. This focuses on how AI-Enabled Master Data Management can support the management organizations to shift their focus from traditional rules-based functioning and establish new paradigms for the data regime in a fast, complex digital environment.