Overview:
This session focuses on analytical use cases for connecting ChatGPT-style capability with Power BI.
Participants will explore how AI can assist with narrative insight, data explanation, categorization, documentation, and exploration while preserving data governance and analytical rigor. The course is designed for users who want AI to strengthen the analyst's workflow, not replace it.
Why you should Attend:
AI-generated analysis can sound persuasive even when the data logic is incomplete, so analysts need a controlled workflow before they trust the narrative.
Areas Covered in the Session:
- High-value analysis use cases: summarization, anomaly explanation, classification, and narrative reporting
- How to limit AI prompts to appropriate data scope and business context
- Using structured outputs so AI results can be reviewed, stored, and visualized
- Prompt design for analysis questions, metric explanations, and executive summaries
- Combining Power BI measures with AI-generated narrative carefully
- Reviewing AI output for hallucination, overstatement, weak causality, and missing context
- Designing a repeatable analyst-in-the-loop process
Who Will Benefit:
- Data Analysts
- BI Analysts
- Operations Analysts
- Finance Analysts
- Reporting Managers
- Business Analysts