AI is transforming how we interact with information. “Chat with Your Data in a Day” is a comprehensive, hands-on workshop designed to help you bridge the gap between your enterprise data and conversational AI.
This training course, created by Microsoft and Presented by Thorogood consultants, is designed for experienced Power BI users who want to leverage the latest AI capabilities, including Microsoft Copilot and Fabric Data Agents, to make data exploration faster, more intuitive, and accessible to everyone in their organization.
Join us from 9am – 5pm on April 9th for this free online workshop. You will learn how to prepare and optimize your data models for AI-driven, conversational querying, ensuring your business users can get real-time answers simply by asking questions.
What to expect
- Optimize for Conversational AI: Prepare and refine your Power BI models to ensure they are AI-ready, enabling seamless natural-language interaction and intuitive querying
- Refine Through Iterative Testing: Apply hands-on techniques to validate and improve your data models, ensuring accuracy and reliability through rigorous testing cycles
- Master AI Interaction: Explore how to guide Microsoft Copilot’s responses by implementing contextual framing and tone alignment to meet your organization’s specific communication standards
- Deploy Fabric Data Agents: Leverage the power of Fabric Data Agents to deliver curated, context-aware insights sourced from both Microsoft Fabric and external data environments
Is it for you?
- Would you like to learn more about the offerings of Microsoft’s AI and Copilot capabilities?
- Are you looking for hands-on experience to prepare your existing data architecture for conversational interaction?
- Are you looking to move beyond static reports and empower users with conversational analytics?
Format
This is an interactive exercise-led training workshop. Our consultants will present key topics, guide attendees through hands-on experience, and answer questions that you may have. The training is delivered virtually using Microsoft Teams.