This paper explores how agentic AI is redefining master data management (MDM) in life sciences organizations. It explains how autonomous AI agents can proactively manage data quality, governance, enrichment, and integration across complex enterprise ecosystems. The report contrasts traditional rules-based MDM with adaptive, learning-driven approaches that improve scalability and responsiveness. Key use cases include regulatory data harmonization, customer master management, and supply chain optimization. The paper concludes that agentic AI-enabled MDM enhances trust in data, accelerates decision-making, and supports more agile, insight-driven operations.

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