Build the Data Foundation for Enterprise AI with Microsoft Fabric
ProArch and Microsoft experts explain how to bring fragmented enterprise data into a unified, governed foundation in Microsoft Fabric. Learn how semantic models add the business context Copilot and AI agents need to deliver more relevant, trustworthy answers.
Watch The Full Webinar
Key Takeaways
- Understand why many enterprise AI challenges begin with fragmented data, inconsistent definitions, and unclear ownership
- See how Microsoft Fabric brings data engineering, analytics, reporting, governance, and AI workloads into a unified SaaS platform
- Learn how OneLake unifies data across systems through ingestion, shortcuts, and mirroring
- Build your data foundation in practical layers: OneLake, lakehouse and warehouse, semantic models, and AI experiences
- Explore how OneLake Catalog supports data discovery, access visibility, governance, and lineage
- See how semantic models and Fabric IQ ontology give AI the business context needed to reduce ambiguity and improve grounding
- Watch a live demo that turns fragmented operational data into a Fabric data agent users can question in natural language
- Assess your Fabric readiness and identify the right next step, from a focused proof of value to architecture reviews and agent development
- Overview of the latest Microsoft Fabric announcements from FabCon Barcelona, including updates to compute, governance, Fabric IQ, and planning capabilities
Who This Webinar Is For
- Data and analytics leaders preparing their organizations for enterprise AI
- Data engineers, architects, and BI teams working with Microsoft Fabric and Power BI
- IT leaders evaluating how to unify and govern data across enterprise systems
- Business and technology leaders exploring Copilot and AI agents grounded in trusted organizational data
Ready to Move from Fragmented Data to Enterprise AI?
ProArch can help you assess your Fabric readiness, validate a high-value use case, strengthen your existing architecture, or build agents grounded in trusted enterprise data.
