AI Falls Apart — Unless Your Master Data Is Governed

We all know that AI is only as strong as the data behind it. Without governed, high-quality master data, even the most advanced models will produce unreliable outcomes. As organizations adopt more cloud applications and data sources, mastering that data becomes essential to building accurate, trusted intelligence.

In this episode, our experts unpack how master data management (MDM) connects with governance, quality, and enrichment initiatives to create the conditions AI needs to succeed. You’ll also hear how emerging AI-powered tools can augment MDM outcomes for faster, more scalable results. And because data debates shouldn’t be dry, we’ll keep it interactive with a game-style segment where our guests share quick takes on hot topics shaping the MDM landscape.

Watch this session on-demand today for a candid conversation that explores:

• Why governed master data is the bedrock of trustworthy AI and analytics
• How MDM integrates with governance, quality, and enrichment to amplify outcomes
• Ways AI can enhance — not replace — core MDM processes
• Real-world perspectives on adapting MDM to modern data ecosystems