Summary
In this final chapter, we focused on how OpenAI, particularly ChatGPT, powered by the GPT architecture, can enhance data cleaning in Power BI, making processes more efficient and insightful.
The significance of data cleaning was emphasized. We showed you how to begin leveraging OpenAI and Copilot’s capabilities when enhancing the data cleaning processes, whether that was through query optimization in the chat playground or the use of Copilot within Dataflow Gen2. The chapter then introduced the concepts of natural language processing for identifying anomalies and outliers in your data.
We also explored specific use cases where OpenAI can be effective, including optimizing query plans, caching strategies, handling large datasets, dynamic query adjustments, guidance on complex transformations, and error handling strategies.
Lastly, you learned about some challenges associated with leveraging OpenAI in Power BI, including the risk of incorrect information, the...
