Brick and Caleb explain how Blue Margin is using ChatGPT for generating synthetic data to populate data models in Power BI reports. Caleb shares his insights on how this approach has streamlined the process of creating sample reports with fake, yet realistic data, to demonstrate work without compromising customer data privacy. They discuss the limitations of traditional data-generating tools and highlight how ChatGPT's ability to produce specific data sets, like email addresses or location codes, significantly eases the task of generating authentic-looking fake data for reports. They also explore other practical applications, such as anonymizing sensitive data, generating test cases for row-level security issues, and training on complex data models. This conversation provides a deep dive into how emerging AI technologies like ChatGPT are revolutionizing data management and visualization in the field of business intelligence.

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