Overview:
This step-by-step webinar explains safe and practical ways to bring ChatGPT-style analysis into a Power BI workflow.
Participants will learn the major architecture options, the risks of sending business data to AI services, and the design principles for returning usable text, classifications, summaries, or analysis outputs to reports. The session emphasizes governance before code.
Why you should Attend:
A poorly designed AI integration can expose sensitive data, produce unverifiable outputs, and create a reporting process nobody can audit.
Areas Covered in the Session:
- What 'integrating ChatGPT with Power BI' actually means in practical terms
- Integration patterns: API service layer, Power Query web calls, Python/R, custom connectors, and automation
- When to send metadata, aggregated data, sampled data, or no sensitive data at all
- Creating prompts that return structured outputs suitable for reports
- Handling API keys, authentication, cost controls, logging, and error handling
- Validating AI-generated outputs before they appear in business reportsĀ
- A safe step-by-step proof-of-concept roadmap
Who Will Benefit:
- BI Developers
- Data Analysts
- IT Analysts
- Automation Specialists
- Citizen Developers
- Analytics Managers