Using Fabric as a full blown AI and ML platform can be intriguing and cumbersome to get started with.

In this session we will guide you through the bits and bytes of building a machine learning/ ai model in Fabric with the build in services.
With a stepstone of improving customer experience on an e-commerce platform we get started with the basic steps.

Product and customer profiling using AI and from this building a recommender engine to use in the webshop will also be a part of the session.
All of this work needs governance and orchenstration - we'll guide you through the build in ML-Flow in Fabric which gives you OOTB model orchestration and a bit of governance to your work with AI/ML models.

After the AI/ML model has been build, we then step into the real-time analytics space and looks at the events from the wepshop with live-alerts and bleeding edge real-time dashboards (not Power BI) to get live insigts into the customers' behaviour on the site.

From this level 200 session we hope you will get home with eleveted knowledge of all the news and services in Fabruic to build a ML model with real-time insights.