The workshop will cover several key aspects to ensure your data is set up and ready for AI in Power BI. We’ll delve into the essential components and strategies required to prepare your data for AI. It will include guidelines on data structuring, cleaning, and validation to ensure accuracy and reliability.
- Setting Up a Semantic Model: You will learn how to create a semantic model that organizes and defines the relationships between different data elements. This model is crucial for enabling AI to understand and process your data effectively.
- Preparing Your Semantic Model for AI: This involves using verified answers and instructions to enhance the semantic model. Verified answers ensure that the AI provides accurate and reliable insights, while instructions guide the AI on how to interpret and analyze the data.
- Consuming Data from the Full-Screen Copilot Experience: The workshop will demonstrate how users can interact with and consume data through the new full-screen copilot experience. This feature provides a more immersive and intuitive way to access insights and make data-driven decisions.
- Fabric Data Agents: You will explore how Fabric data agents can be used to manage and extend your data. These agents facilitate seamless integration and automation, making it easier to handle large datasets and complex workflows.
- Microsoft Copilot Studio and AI Foundry: Finally, the workshop will introduce Microsoft Copilot Studio and AI Foundry, tools that allow you to extend and customize your AI capabilities. These platforms provide advanced features for developing and deploying AI solutions tailored to your specific needs.
