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Power BI Machine Learning and OpenAI

You're reading from   Power BI Machine Learning and OpenAI Explore data through business intelligence, predictive analytics, and text generation

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781837636150
Length 308 pages
Edition 1st Edition
Languages
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Author (1):
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Greg Beaumont Greg Beaumont
Author Profile Icon Greg Beaumont
Greg Beaumont
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Table of Contents (21) Chapters Close

Preface 1. Part 1: Data Exploration and Preparation
2. Chapter 1: Requirements, Data Modeling, and Planning FREE CHAPTER 3. Chapter 2: Preparing and Ingesting Data with Power Query 4. Chapter 3: Exploring Data Using Power BI and Creating a Semantic Model 5. Chapter 4: Model Data for Machine Learning in Power BI 6. Part 2: Artificial Intelligence and Machine Learning Visuals and Publishing to the Power BI Service
7. Chapter 5: Discovering Features Using Analytics and AI Visuals 8. Chapter 6: Discovering New Features Using R and Python Visuals 9. Chapter 7: Deploying Data Ingestion and Transformation Components to the Power BI Cloud Service 10. Part 3: Machine Learning in Power BI
11. Chapter 8: Building Machine Learning Models with Power BI 12. Chapter 9: Evaluating Trained and Tested ML Models 13. Chapter 10: Iterating Power BI ML models 14. Chapter 11: Applying Power BI ML Models 15. Part 4: Integrating OpenAI with Power BI
16. Chapter 12: Use Cases for OpenAI 17. Chapter 13: Using OpenAI and Azure OpenAI in Power BI Dataflows 18. Chapter 14: Project Review and Looking Forward 19. Index 20. Other Books You May Enjoy

Using OpenAI and Azure OpenAI in Power BI Dataflows

Chapter 12 of this book provided an overview of the OpenAI and Azure OpenAI technologies. The chapter also explored methods to incorporate these cutting-edge AI technologies into your use case using FAA Wildlife Strike data. To enhance the quality of the content in Chapter 12, OpenAI ChatGPT was utilized to generate better text. Moving forward, ChatGPT will continue to be used on occasion as a tool to improve the writing quality of the rest of the book.

Furthermore, there are two use cases for OpenAI and Azure OpenAI technologies that are discussed in detail in this chapter. Specifically, you will focus on their applications in summarization and descriptive content generation, as discussed in Chapter 12. To illustrate these use cases, a project is included in this chapter.

In this chapter, you will see how to integrate OpenAI (or Azure OpenAI) into your Power BI solution for FAA Wildlife Strike data. Through this integration...

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