How AI-powered MDM and trusted data together unlock enterprise AI success

AI initiatives are accelerating — but many stall before delivering value. Join us live on April 28 for an executive discussion on why success depends on both smarter MDM tools and trusted, governed data working together.

Why AI Needs Modern MDM

AI is transforming how organizations manage data — reducing manual effort, accelerating configuration, and enabling new levels of automation. But these gains only matter if AI systems can access accurate, consistent data.

In this session, Profisee CTO Eric Melcher will demonstrate how AI is embedded directly into the MDM lifecycle to simplify and accelerate:

• Data quality rule creation and refinement
• Entity matching using semantic understanding
• Workflow configuration and stewardship tasks
• Natural language interaction with MDM systems

You’ll also see how innovations like the Profisee MCP Server connect governed master data directly into AI tools and agents — creating a standardized, secure bridge between data and AI workloads .

Why Trusted Data Makes Or Break AI

While AI can enhance MDM, the reverse is just as critical. Most AI initiatives fail due to poor underlying data.

We will explain why successful AI requires both:

• Truth — resolved, deduplicated master data at the entity level
• Meaning — shared definitions, relationships, and context across the business

Together, these form the foundation AI needs to deliver accurate, explainable, and scalable outcomes.

What You’ll Take Away

This session is designed to help data and technology leaders reframe AI strategy through a practical, modern lens:

• How AI and MDM reinforce each other across the data lifecycle
• Why connecting trusted data to AI tools is a strategic priority
• What leading organizations are doing differently to succeed with AI
• How to position MDM as a business enabler — not just an IT function