About ontologies and knowledge graphs

For some people - such as this events' main speaker, ontologies and knowledge graphs have been an obvious choice for years. For others it might be something they just heard about as Microsoft launched Fabric IQ.

So, we thought it would be great to introduce you this technology. And then take a look at how this can be implemented in Fabric.
Fist session is in-person, by Veronika Heimsbakk.

What are ontologies and why should we care?
This talk introduces knowledge graphs and ontologies as a way to make the meaning of your data explicit and machine-readable, and explains why this is becoming an important architectural choice. We'll cover the basics of RDF as a standard for representing knowledge, and walk through practical examples of how RDF and SPARQL can be applied in a data platform: integrating heterogeneous sources, modelling business concepts, and validating data. You'll leave with a clear sense of why semantic technologies are worth considering, and where to start if you want to try them yourself.

Second session is about Fabric IQ and the new Ontology object with Brian Bønk.

Stop Defining the Same Data Twice - Getting Started with Fabric IQ
Every organisation has the same problem. Business terms are defined differently across teams, semantic models duplicate the same definitions, and your AI agents have no clue what the data actually means.
The result is conflicting reports, governance headaches, and hours spent on things that should have been solved from the start.
Fabric IQ is set to change this. With the Ontology item in Microsoft Fabric, the business gets a no-code approach to define entities, relationships, and rules in one single place. Once defined, these definitions are automatically picked up by AI agents, semantic models, and services across Fabric - and beyond, into AI Foundry and Work IQ.
In this session, you will see how to set up your first Ontology from scratch or based on existing semantic models, link it to your data entities in Fabric - including time-series, bulk loaded, and geospatial data - and watch how AI agents use these definitions without extra configuration.
No marketing fluff. Hands-on demos and practical guidance you can use the day you get back to the office.