Guide to Entity Resolution with AI-Native MDM

This guide provides an in-depth examination of entity resolution within the context of AI-native Master Data Management (MDM). It outlines the significance of resolving entities into unified views known as golden records, which are essential for effective data management and decision-making across various business functions. The document explains the challenges associated with entity resolution, including data heterogeneity, the problem of scale, and the need for external context. It also discusses the role of AI and human refinement in enhancing the accuracy of entity resolution processes. Furthermore, the guide presents ten key principles for implementing effective AI-native MDM solutions, emphasizing the importance of scalability, machine learning, and real-time data management. By addressing these challenges and principles, organizations can improve their data quality and make informed decisions that drive business success.