Implementing AI-Driven Master Data Management Frameworks for Real-Time Data Synchronization and Enhanced Business Value

Cyrus Jason Shaw

Authors

Cyrus Jason Shaw Manager, Data Engineering, UK Author

Keywords:

Master Data Management, AI-Driven Frameworks, Real-Time Data Synchronization, Business Value, Data Governance, Machine Learning, Data Quality

Abstract

AI-driven Master Data Management (MDM) frameworks have emerged as a cornerstone for ensuring data integrity, real-time synchronization, and enhanced business value. By leveraging machine learning algorithms and advanced analytics, these frameworks streamline data governance, reduce inconsistencies, and enable actionable insights. This paper explores the role of AI in transforming traditional MDM systems, reviews existing literature, and identifies the benefits, challenges, and future prospects of these frameworks.

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