Your Data, Your Agents: Building Smarter Experiences with Microsoft Fabric IQ

As organizations explore the next wave of AI, the question is no longer “Can we use AI?” - but “How can we use it meaningfully?”

This session explores how Microsoft Fabric IQ and Data Agents enable new ways to access, understand, and automate data – without switching tools or writing custom code.

You’ll learn how to:
1. Connect natural language interfaces to lakehouses, warehouses & semantic models
2. Use Fabric IQ ontologies to bring business meaning to technical data
3. Deploy Data Agents that retrieve, plan, and summarize based on user intent
4. Build agent-driven workflows that feel intuitive - and actually get things done

This session combines technical architecture with real-world examples to show how conversational AI is changing the way we work with data - directly inside Microsoft Fabric.

Your AI Agents Don't Know What "Customer" Means

Most AI agent projects don't fail because of the model. They fail because the data has no shared meaning.

Two agents in the same company define "customer" differently. One reads revenue as gross, another as net. They produce contradictory outputs. Nobody catches it until something breaks.

This session is about that problem. Why it happens, what's missing, and how to fix it - using Microsoft Fabric IQ as a hands-on example.

You'll leave with:
1. A plain-language understanding of semantic layers and ontologies
2. Why this is now infrastructure, not a nice-to-have, for any agentic AI system
3. How the Fabric IQ Ontology item works, shown with a live demo on realistic business data
4. The three data foundation mistakes that most reliably break agent behavior
5. A starting point you can take back to your own environment

The session draws on real Fabric Data Agent deployment patterns and is structured for data engineers, developers, and architects who are building AI agent solutions and want the foundation in place before they scale.

You Don’t Need to Know Everything to Start: A Real Path Into Data with Microsoft Fabric

A lot of people stay away from data because the field looks too big, too technical, and too far away. Too many tools. Too many job titles. Too many things you feel you should already know before you even begin.

This session is for people who are curious about data and Microsoft Fabric, but still think they are not ready yet.
Using Microsoft Fabric as the technical backbone, this session shows a more honest way into data work. Not the polished story told backwards, but the real one: learning while doing, trying things out, getting confused, asking questions, and slowly understanding how the pieces fit together. The session brings together two perspectives: a hands-on technical view on Microsoft Fabric, and a more honest look at what getting started in data really feels like.

You will get a simple view of what Fabric actually is, what problems it helps solve, and where someone can start without needing to understand the whole data world first. At the same time, the session speaks openly about confidence, overwhelm, and why many people wait too long before taking the first step.

You will leave with a clearer picture of Microsoft Fabric, a more realistic view of what “getting started” really looks like, and the feeling that entering the data space does not require perfection before action.

Microsoft Fabric Updates You Shouldn't Ignore

Microsoft Fabric has received a wave of new features over the past months - but not every update deserves your attention.

In this short, focused session, we cut through the noise and look at the Microsoft Fabric updates you can’t ignore. We’ll highlight what has changed, how these updates impact real-world data architectures, and which capabilities are already shaping how modern analytics platforms are built.

If you’re working with Microsoft Fabric - or considering it - this talk gives you a fast, honest overview of what actually matters now, and what you should start experimenting with next.

How to build a Multi-Agent Workflow in Microsoft Fabric

From Data to Decisions: Building Intelligent Analytics with Microsoft Fabric & Fabric IQ

Microsoft Fabric has fundamentally changed how we build modern data platforms and Fabric IQ takes this one step further by adding intelligence directly into the analytics workflow.

We’ll look at how Fabric IQ helps you ask better questions, understand your data faster, and turn insights into action, all inside the Fabric ecosystem. Along the way, we’ll connect the dots between OneLake, Real-Time Intelligence, and Power BI, and show how AI quietly improves the experience without making things more complex.

You’ll walk away with:

- A clear understanding of what Fabric IQ really is (and what it isn’t)
- Practical examples of how AI fits into everyday analytics and real-time use cases
- Ideas for where Fabric IQ can remove friction in your own data platform
- A realistic starting point without a big-bang “AI transformation”

Fabric IQ Explained: Turning Insights into Intelligent Action

Data teams have done a great job building dashboards, reports, and pipelines—but many organizations still struggle to turn insights into timely action. Fabric IQ is Microsoft Fabric’s answer to that gap. It brings intelligence closer to the data, helping systems understand context, reason over information, and support better decisions as things happen.

In this session, we take a practical look at what Fabric IQ really is and how it fits into the broader Microsoft Fabric ecosystem. Instead of focusing on buzzwords, we’ll explore concrete scenarios that show how Fabric IQ can work with both real-time and historical data, surface relevant insights automatically, and guide users toward the next best action.

You’ll see how Fabric IQ connects with familiar Fabric components such as Real-Time Intelligence, Lakehouse, and Power BI, and how it adds intelligence without forcing you to redesign your architecture. Through clear explanations and short demos, we’ll focus on what this means for everyday work—less manual analysis, faster understanding, and more confident decisions.

Whether you build data platforms, design analytics solutions, or rely on data to run the business, this session will give you a down-to-earth view of how Fabric IQ helps close the gap between data, insight, and action.

Datenintegration bis Power BI in 30 Minuten: Ein End-to-End-Anwendungsfall mit Microsoft Fabric

In diesem Vortrag zeigen Katarina Medger und Hanna Schwab ein vollständiges End-to-End-Datenanalyseszenario mit Microsoft Fabric – vom Laden der Rohdaten bis zur Veröffentlichung eines Power BI-Berichts.

Die Teilnehmenden lernen, wie sie Daten mit Microsoft Fabric integrieren, in einem Lakehouse speichern und verwalten, Transformationen anwenden und direkt auf ihrem Datenmodell einen Power BI-Bericht erstellen können.

Der Vortrag ist besonders für BI-Expert*innen und Entwickler*innen geeignet, die eine praktische Einführung in die einheitliche Architektur von Fabric möchten – ohne zusätzliche Tools, sondern mit nur einer Plattform von der Datenquelle bis zum Reporting.

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents

This session presents a practical end-to-end use case built in Microsoft Fabric, covering topics from data ingestion to analytics.

As a data hub, Microsoft Fabric combines data flows, analytical models, and operational logic on a single platform.

A key component of this session is the use of Fabric Data Agents, which enable organizations to build conversational AI experiences that let users ask questions across different data sources. These agents work seamlessly across lakehouses, warehouses, Power BI semantic models, and KQL databases.

Building a Multi-Agent Workflow in Microsoft Fabric

KI ist mittlerweile Commodity. Damit wächst der Bedarf an dynamischeren, kontextbezogenen Systemen.

In unserer Session sprechen wir über Fabric Data Agents und wie wir sie in Multi-Agent-Workflows einbinden.

In 30 Minuten erfahrt ihr, wie:
1) Single Agents zu einer Multi-Agent-Architektur werden
2) Wir Semantische Modelle, Lakehouses und Pipelines nutzen, um agententaugliche Grundlagen zu schaffen
3) Mehrere Agenten mit spezialisierten Rollen (z. B. Planer, Abrufer, Zusammenfasser) koordiniert werden

Dieser Vortrag verbindet technische Einblicke mit praktischen Beispielen, um zu zeigen, wie die Zusammenarbeit von Agenten neue Ebenen an Flexibilität und Intelligenz erschließt – und das alles innerhalb des Microsoft Fabric-Ökosystems.

AI AMA - Ask me Anything

Die AI Speaker stehen zu Fragen zur Verfügung und werden Fragen beantworten