Most organizations already know their data is fragmented. Customer records exist in multiple systems. Product data is inconsistent. Reporting depends on spreadsheets, workarounds, and manual cleanup. The challenge is that these issues compound over time, especially as companies begin investing in analytics, Copilot, AI agents, and automation initiatives that depend on trusted data. In this session, Justin Carter will walk through how organizations are approaching modern Master Data Management (MDM) using Microsoft Fabric and AI-driven frameworks to create a scalable, governed, and AI-ready Golden Record.

The session will explore:

• Why traditional MDM efforts often struggle in complex environments

• How fragmented ERP, CRM, and operational data impacts reporting and decision-making

• The role AI can play in validation, standardization, and deduplication

• How Microsoft Fabric supports scalable data ingestion and governance

• Practical approaches to building data foundations that support analytics, automation, and AI initiatives

This session is designed to be educational and practical, focused on real-world architecture patterns and operational considerations rather than theory alone.

Format

15 minutes: Understanding the modern master data challenge

20 minutes: AI-driven MDM architecture and Fabric walkthrough

15 minutes: Governance, Golden Record strategy, and practical implementation considerations

10 minutes: Live Q&A and discussion

Who Should Attend

IT leaders, architects, data professionals, ERP/CRM owners, business systems teams, and organizations exploring Microsoft Fabric, AI, analytics, or data modernization initiatives.