What happens after you modernize your data platform? This capstone session closes the Microsoft Fabric series with a first-person look at how American Engineering Testing (AET) is using Fabric not just for analytics, but as the foundation for an AI-first approach to enterprise systems. Rather than treating Microsoft Fabric as a reporting endpoint, AET is using it as a dynamic, governed data layer that grounds emerging AI workloads.
In this customer-and-partner conversation, Ludia Consulting and American Engineering Testing walk through the planning and execution behind their Fabric implementation, then explore how that foundation is shaping what comes next: a code-first architecture using Azure AI Foundry, Azure Functions, Dataverse, and Fabric working together.
This is not a finished transformation. It’s an honest look at an early-stage journey: what’s working, what’s hard, and what other teams should think about if they want their Fabric investment to be AI-ready from day one.
- Learning Objective 1: Understand how Microsoft Fabric shifts enterprise data from static reporting to a dynamic, analytics-ready foundation that enables AI workloads.
- Learning Objective 2: Identify architectural patterns for activating AI on top of a Fabric data foundation.
- Learning Objective 3: Recognize practical lessons and trade-offs from an early-stage Fabric and AI journey.
Terms: All rights reserved by the speaker, AI Agent & Copilot Summit NA, and Dynamic Communities and cannot be reproduced or distributed without express written consent by the speaker and Dynamic Communities.
Speakers
Nick Talsma, Senior Manager, Power Platform Technical Solution Architect, Ludia Consulting
Brian Zwart, VP of IT, American Engineering Testing, Inc. (AET)
Related Posts
