The Data Governance & Information Quality Conference (DGIQ) + AI Governance Conference (AIGov) by DATAVERSITY is the premier industry event dedicated to data management, data governance, and AI governance. It brings together data leaders and practitioners to share practical education, real-world case studies, and actionable strategies for building trusted, data-driven organizations.
About the Speaker
Vincent Tran is the Director of Innovation at IMT. An accomplished technology leader and consultant specializing in Master Data Management (MDM) since 2007, Vincent brings deep expertise in designing enterprise-grade MDM platforms, custom extensions, and scalable data governance architectures across healthcare and diverse industry sectors.
Session Overview
Operational MDM in the AI Era: A Real-Time Blueprint for Trusted Golden Records
Date & Time: Tuesday, November 17, 2026 | 12:00 PM – 12:45 PM
Achieving a trusted golden record requires success at the operational level under real-world production pressure—far beyond simply deploying an entity resolution engine. In this product-neutral session, Vincent presents a practical blueprint for modern operational MDM. The presentation explores how to build observable, explainable, and resilient architectures that protect data quality while enabling faster onboarding, automated stewardship, and safe AI adoption.
Key Topics Covered:
- Duplicate Prevention: Designing real-time search-before-create workflows to stop duplicates before ingestion.
- Matching Models: Comparing deterministic, probabilistic, and referential matching approaches.
- Smart Automation: Automating stewardship queues using business rules, Machine Learning, and Generative AI.
- Data Resilience: Strategies to detect, quarantine, and recover from overlays and corrupted records.
- Explainable Governance: Utilizing LLMs to summarize audit trails, explain entity clusters, and enforce human-in-the-loop controls.
