FREE WHITEPAPER from Trianz D&AI Practice

Generative AI for Master Data Management

Traditional MDM in enterprises is essential but increasingly inefficient—slowed down by siloed systems, duplicate records, manual processes, and limited scalability. With rising data complexity and accelerating AI adoption, the need to modernize MDM with Generative AI (GenAI) has never been more urgent.

This whitepaper explores how GenAI can transform MDM by automating stewardship, enriching data quality, and scaling operations across domains like customer data, compliance, and claims—while maintaining governance and regulatory rigor.

What This Whitepaper Covers:

  • A strategic roadmap to embedding GenAI into MDM across industry domains

  • High-impact use cases: data cleansing, KYC consolidation, 360° views, synthetic data

  • Emerging trends: AI copilots, RAG, automation, and data synthesis

  • Platform landscape: Informatica, Reltio, Ataccama, IBM, Profisee, AWS Bedrock/SageMaker

  • ROI highlights: 50–90% time savings, 10x productivity, stronger retention, and reduced risk

  • Responsible AI practices: privacy, fairness, explainability, and human-in-the-loop oversight

How Trianz Can Help:

Trianz empowers enterprises to turn MDM into a strategic asset by integrating GenAI with the AWS tech stack. With deep domain expertise, intelligent automation, and strong governance, we deliver scalable solutions that elevate data quality, ensure compliance, and generate trusted 360° views—driving sharper decisions, richer customer experiences, and lower operational risk.

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