As AI becomes embedded in everyday business operations, the quality, governance and trustworthiness of data have never been more important. How are data leaders responding to AI?
While modern platforms like Microsoft Fabric, Snowflake and Databricks are transforming how organisations manage and consume data, technology alone is not enough. Strong master data foundations remain critical to enabling trusted insights, reducing risk and driving successful AI outcomes.
In this report, The State of Master Data Management 2026, Profisee Chief Data Officer Malcolm Hawker explores how data leaders must evolve their MDM strategies to thrive in an AI-first enterprise. Drawing on decades of hands-on experience and industry expertise, Hawker provides practical guidance on the changes required to support increasingly complex data environments.
How data management needs to evolve for AI success
The report explores how data management must evolve as AI becomes embedded in business processes. It focuses on the real challenges data leaders are facing today, including:
- Data that cannot be trusted across different use cases
- Governance models that do not scale with AI
- The growing need to connect data, context, and business outcomes
Inside the report, you will learn:
- Why a single version of truth no longer works across the enterprise
- How governance must shift to a context-aware model
- What it takes to deliver trusted data for AI and analytics
- How leading organisations are adapting their MDM strategies
Download your complimentary copy of The State of Master Data Management 2026 and gain the insights needed to future-proof your data strategy, strengthen governance and unlock greater value from your AI investments.
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Future-proof your MDM strategy for the AI era
Understand the critical shifts reshaping MDM and how to adapt your data strategy for an AI-first enterprise
