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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

Summary

In this chapter, you have delved into the fundamental concepts associated with OpenAI and Microsoft Azure OpenAI, and how these platforms can be employed to generate and summarize text. Moreover, you have explored several options for integrating GPT models from both OpenAI and Azure OpenAI into your Power BI solution using FAA Wildlife Strike data. Following a careful evaluation process, it has been determined that the text-davinci-003 GPT model will be utilized for the summarization of remarks present in FAA Wildlife Strike data reports, and for generating novel descriptive information about airplanes within the reports.

Chapter 13 will be dedicated to the implementation of functions within Power BI dataflows, enabling the seamless calling of OpenAI and Azure OpenAI REST APIs for data. These APIs will facilitate the successful implementation of your summarization and descriptive generation use cases, thereby providing new capabilities for your solution to address the challenges...

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