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Power BI Machine Learning and OpenAI

You're reading from  Power BI Machine Learning and OpenAI

Product type Book
Published in May 2023
Publisher Packt
ISBN-13 9781837636150
Pages 308 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Greg Beaumont Greg Beaumont
Profile icon Greg Beaumont
LinkedIn
Greg Beaumont is a data architect at Microsoft, where he enjoys identifying and solving complex problems backed by his experience in data architecture and a passion for innovation. Focusing on the healthcare industry, Greg works closely with customers to plan enterprise analytics strategies, evaluate new tools and products, conduct training sessions and hackathons, and architect solutions that improve the quality of care and reduce costs. He strives to be a trusted advisor to his customers and is always seeking new ways to drive progress and help organizations thrive. He is a veteran of the Microsoft data speaker network and has worked with hundreds of customers on their data management and analytics strategies.
See other products by Greg Beaumont

Table of Contents (21) Chapters

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

Summary

This chapter covered the integration of OpenAI or Azure OpenAI with Power BI, along with a use case for Power BI Cognitive Services. By leveraging these advanced tools, you were able to generate new descriptions of airplanes using external data and GPT models, summarize remarks about wildlife strikes, and even score the remarks for sentiment analysis.

Moving forward, the next and final chapter will provide an opportunity to review and reflect on the work accomplished throughout this book and the accompanying workshop. We will also begin to explore new strategies for enhancing and expanding upon the existing project, as we recognize that projects are never truly complete if there is still potential for additional value to be achieved.

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Authors (1)

Profile icon Greg Beaumont
LinkedIn
Greg Beaumont is a data architect at Microsoft, where he enjoys identifying and solving complex problems backed by his experience in data architecture and a passion for innovation. Focusing on the healthcare industry, Greg works closely with customers to plan enterprise analytics strategies, evaluate new tools and products, conduct training sessions and hackathons, and architect solutions that improve the quality of care and reduce costs. He strives to be a trusted advisor to his customers and is always seeking new ways to drive progress and help organizations thrive. He is a veteran of the Microsoft data speaker network and has worked with hundreds of customers on their data management and analytics strategies.
Read more
See other products by Greg Beaumont

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