Today’s enterprises run on data, but too often that data is fragmented, inconsistent, and incomplete. Without a trusted view of customers, suppliers, products, providers, and other critical business entities, organizations struggle to improve operations, manage risk, personalize experiences, and power AI initiatives with confidence. 

Golden Records 2.0: The AI-Native MDM Advantage explores how AI-native master data management helps organizations overcome these challenges by creating golden records: authoritative, complete, and actionable views of their most important data. Unlike traditional rules-based MDM systems, which depend on manual rule-writing, centralized governance, and constant maintenance, AI-native MDM uses machine learning, AI agents, third-party enrichment, real-time APIs, and human expert feedback to standardize, match, enrich, and maintain data at enterprise scale. 

The ebook explains why legacy MDM approaches often fall short in today’s dynamic data environments and shows how AI-native MDM delivers faster time to value, greater accuracy, improved scalability, and higher data quality. It also examines the strategic choice between building a custom solution and buying a proven platform, helping data leaders evaluate the tradeoffs around cost, speed, flexibility, and long-term value. 

Through examples from Old Mutual, Toyota Motors Europe, and other customers, the ebook demonstrates how Tamr helps organizations reduce duplicates, improve data quality, decommission legacy systems, and deliver trusted data products for business and AI use cases. 

For leaders looking to modernize MDM, accelerate data-driven decision-making, and make reliable data available across the enterprise, AI-native MDM represents the next evolution of golden records.