DGIQ-E24: How Master Data Management (MDM) Supports AI Governance and Accelerates Innovation

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The success of AI initiatives depends on trusted data sets. Organizations that are able to leverage trusted internal enterprise data assets for AI are at a significant strategic advantage in today’s AI-driven marketplace. Customer, Product, Location data, and more become the building blocks for effective AI models. Master Data Management is the process of creating these trusted data sets for core enterprise assets, which requires a combination of data governance, business process alignment, and a strong data architecture. This session covers practical ways to use MDM to accelerate your strategic AI efforts.

Speaker: Donna Burbank

Donna Burbank is a recognized industry expert in data management with over 25 years of experience helping organizations enrich their business opportunities through data. She is currently the Managing Director of Global Data Strategy, Ltd., where she assists organizations around the globe in driving value from their data. She has worked with dozens of Fortune 500 companies worldwide in the Americas, Europe, Asia, and Africa and speaks regularly at industry conferences. She has co-authored several books on Data Management and is a regular contributor to industry publications. She can be reached at [email protected]

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