Fabric Data Agent Events
Upcoming conferences, sessions, and meetups related to Fabric Data Agents
đź“… Upcoming Events
Jun 15, 2026
Microsoft Fabric Community Conference 2026
The annual Microsoft Fabric Community Conference featuring sessions on data agents, real-time analytics, and the latest Fabric innovations.
May 20, 2026
Fabric Data Agent in a Day
Fabric Data Agent in a Day is a hands-on half-day workshop on Microsoft Fabric Data Agent, scheduled for 20 May 2026 in Milan, designed to show how to move from raw data ingestion to conversational agents that can answer business questions in natural language. During the session, participants populate a Lakehouse and a SQL Database in Fabric, build a first SQL-based Data Agent, make it more effective for Italian-language queries, apply Row Level Security, and measure its performance with Microsoft’s evaluation tools. The workshop then moves to a second agent built on a semantic model with DAX, so attendees can compare the semantic-model approach with the SQL-based one. Overall, the workshop is meant for data and BI professionals who want a practical introduction to building secure, multilingual, end-to-end conversational AI experiences on top of Microsoft Fabric data, using patterns that are closer to real projects than to simple demos.
May 7, 2026
Part 3 / 4: Fabric Data Agent Architecture Patterns: Choosing the Right Consumption Path
Part 3 or 4: Explore the most common and successful architectural patterns for consuming Fabric Data Agents: native Copilot experiences, custom business Q&A apps, agent-to-agent developer workflows via MCP, and enterprise data APIs with optional agent translation. Learn how to choose between Data Agent API, MCP server, and GraphQL depending on your consumers and risk profile.
đź•’ Past Events
Apr 23, 2026
Designing AI‑Ready Data Surfaces: Why Agents Expose Your Weak Spots
Part 2 or 4: Build the semantic and data foundations that make agents reliable. This workshop translates modeling best practices into agent-ready guidance: naming and definitions, explicit measures, star schema discipline, and how to prevent ambiguous data surfaces. Includes common failure modes and Fabric-native remediation strategies to improve grounding quality.
Apr 16, 2026
Designing Trusted Fabric Data Agents - Part 1
This four‑part series guides attendees through the intricacies of Microsoft Fabric Data Agents - from understanding how agents reason over data, to designing AI‑ready data foundations, selecting the right consumption architectures, and operating agents safely at scale. Participants will learn how to move beyond prompt‑level experimentation to system‑level thinking, how agent reasoning, semantic modeling, architectural patterns, and governance controls work together to produce reliable, explainable, and compliant AI‑driven outcomes. Each session builds on the last, equipping teams with practical frameworks, patterns, and checklists to confidently deploy Fabric Data Agents across diverse audiences while managing risk, trust, and performance. Part 1 or 4: A guided tour of why Fabric Data Agents represent a shift from human-authored queries to AI-authored execution logic under guardrails. Learn what a data agent is (and is not), how it fits into the Fabric ecosystem, and how the agent reasoning loop plans and executes grounded answers across governed Fabric artifacts.
Mar 21, 2026
From Power BI to Conversational AI: Building Data Agents That Scales
Your Power BI semantic models already contain trusted business logic, metrics, and relationships. What if those same models could answer questions in natural language across Teams, Excel, and M365 Copilot without rebuilding everything? In this session, you'll see the complete journey from a standard Power BI semantic model to a conversational data agent deployed across multiple surfaces. We'll walk through: Preparing your semantic model for AI: Adding descriptions, AI instructions, and verified answers directly in Power BI Desktop Creating Fabric Data Agents: Turning your semantic model into an intelligent assistant with proper guardrails Deploying across M365: Making your agent accessible in Excel, Teams, and M365 Copilot Through a live demonstration using a real semantic model, you'll see how to handle time intelligence, variance calculations, and business-specific definitions so the AI understands your metrics the way your users do. We'll also cover what actually works (and what doesn't) when moving from visual analytics to conversational experiences. This isn't about replacing Power BI reports. It's about extending the work you've already done into new interaction patterns where they add real value.