Data Trust on Microsoft Fabric: Building a Trusted Data Foundation for the Agentic Era
Discover how data governance and observability must evolve when AI agents become direct consumers of your enterprise data. This whitepaper explores the role of reliability, observability, and governance in building trusted data foundations on Microsoft Fabric and provides a practical blueprint for data leaders preparing their environments to support analytics, AI, and increasingly autonomous workloads.
When AI Acts on Data, Trust Becomes a Business Requirement
Enterprise data is increasingly consumed by models, Copilot experiences, and AI agents that can influence decisions and initiate actions with minimal human oversight. For data leaders, this raises the standard for data reliability. Confidence in AI-driven outcomes requires absolute trust in the data behind them in terms of quality, context, governance, and fitness at the moment of execution.
This whitepaper outlines how to establish end-to-end data trust across your data and AI foundations on Microsoft Fabric and the capabilities required to establish trust across an increasingly connected data estate.
Data Trust in the Agentic Era
Discover how AI-driven consumption is changing the requirements for enterprise data trust and the considerations data leaders should address as models and agents take a more active role in business decisions and operations.
Trust at the Point of Data Consumption
Explore what it takes to establish confidence in the data reaching analytics, models, Copilot, and AI agents across Microsoft Fabric and the considerations involved in carrying trust through to the systems consuming that data.
From Data Trust to Business Confidence
Discover how organizations can evolve their approach to data trust, strengthen confidence in data-driven and AI-driven decisions, and establish a scalable foundation for analytics and AI on Microsoft Fabric.
Where Observability Meets Governance
Understand why data reliability and governance need shared context, and how connecting quality, ownership, policy, and accountability can strengthen trust across complex and regulated data environments.
What You’ll Take Away
Gain a clearer perspective on the questions, capabilities, and priorities shaping trusted data on Microsoft Fabric.
The whitepaper will help you understand:
- How AI and agentic systems are changing expectations for enterprise data reliability
- What data trust means in the context of Microsoft Fabric and OneLake
- Why observability, governance, ownership, and accountability need to work together
- How trusted data can support analytics, models, Copilot, and AI agents
- What organizations should consider as they advance data trust across complex and regulated environments
- How to approach the progression from reactive data quality practices toward scalable, continuous data trust.
Get the Whitepaper
Explore what it takes to establish trusted data for analytics and AI on Microsoft Fabric.
Is Your Data Foundation Ready for the Agentic Era?
As AI becomes deeply embedded in core operations, trusted data has become core foundation to the decisions and actions that follow. Get the architectural blueprints, governance practices, and observability strategy needed to build trusted data on Microsoft Fabric.
