Karin Szilágyi
Senior Data & Analytics Consultant @adesso Austria | Fabric Super User
Graz, Austria
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Karin is a Senior Data & Analytics Consultant at adesso Austria, specializing in Microsoft Fabric, Power BI, and the modern data stack. With a strong end-to-end mindset, she focuses on breaking down complex BI challenges into practical, actionable solutions.
As one of the organizers of the Microsoft Fabric & Power BI User Group Austria, she helps to connect and grow the local data community. In her work, she combines clear data modeling with a pragmatic “let’s just try it” approach to explore - and sometimes break - new features across the Fabric ecosystem.
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Fabric's AI Toolkit: What Each Piece Does and When to Actually Use It
Fabric keeps shipping AI features: Copilot, Data Agents, MCP Servers, Fabric IQ, and the list keeps growing. If you've lost track of what each one actually does or how they fit together, this session is the reset you need.
We'll go through each capability with the same set of questions: what does it actually do, what does it need to work well, what are the current constraints, and when does it make sense to reach for that specific capability versus another option. We'll also cover where they overlap and where they're complementary, so you can make that call yourself rather than going in blind.
No prior experience with these specific features needed. Just bring a working general knowledge of Fabric as a data platform and a reasonable amount of skepticism.
You'll leave with a clear picture of how the current AI capabilities in Fabric fit together and enough of a foundation to evaluate whatever gets announced next, because there will always be something new.
SVG-Visuals in Power BI – mit KI, ohne KI und wiederverwendbar mit DAX UDFs
SVG-Visuals in Power BI sind gerade überall. Meist KI-generiert, oft beeindruckend – und für die meisten eine komplette Blackbox. Was passiert, wenn das Ergebnis falsch ist? Wenn man es anpassen möchte? Wenn die KI einfach nicht liefert, was man braucht?
In dieser Session öffnen wir die Blackbox. Wir bauen SVG-Visuals von Grund auf und nutzen DAX UDFs, um wiederverwendbare Bausteine zu erstellen, die sauber ins Datenmodell passen. Wir zeigen den Weg manuell und mit dem Power BI Modeling MCP Server – damit du selbst entscheiden kannst, wann KI sinnvoll ist und wann du bewusst selbst Hand anlegst.
Du brauchst keine SVG-Vorkenntnisse – nur solide DAX-Kenntnisse und Lust darauf, mal hinter die Kulissen zu schauen.
Copilot, Data Agents, MCP, Fabric IQ - einmal Klartext bitte!
Copilot, Data Agents, MCP Server, Fabric IQ – Microsoft Fabric's KI-Stack wächst schnell, und irgendwann stellt man sich die Frage: Was davon ist für mich überhaupt relevant, und wo fange ich an?
In dieser Session bekommt jede Komponente eine ehrliche Einordnung: Was sie tut, für welchen Use Case sie gedacht ist, und was man wissen sollte bevor man anfängt. Copilot ist nicht dasselbe wie ein Data Agent. Ein MCP Server ist kein Feature, sondern ein Protokoll. Fabric IQ löst ein anderes Problem als die anderen drei. Diese Unterschiede klingen klein, machen in der Praxis aber einen großen Unterschied.
Du gehst mit einem Gesamtbild raus, das dir hilft neue Entwicklungen einzuordnen - auch wenn der Stack sich weiterentwickelt.
Real-Time or Real Enough? What 'Fast' Actually Means in Fabric
The demand for "instant data" in Microsoft Fabric presents a critical architectural choice: Real-Time Intelligence, Mirroring, or Shortcuts? Each option carries a different meaning of "real-time", with major implications for latency, cost, and complexity. We'll examine end-to-end latency from source to dashboard - because to your business users, data isn't "real-time" until they can actually see it.
Too often the decision gets made based on what sounds most impressive rather than what the data and the use case actually need.
This session gives you a practical framework for matching each option to the right scenario based on your data characteristics, your latency requirements, and how much complexity you're actually willing to maintain.
Data Saturday Croatia 2026 Sessionize Event Upcoming
New Stars of Data #10 Sessionize Event
Microsoft Data Platform Meetup Groningen User group Sessionize Event
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