Artificial Intelligence with Power BI: Take your data analytics skills to the next level by leveraging the AI capabilities in Power BI

by Mary-Jo Diepeveen

Overview

The artificial intelligence (AI) capabilities in Power BI enable organizations to quickly and easily gain more intelligent insights from unstructured and structured data.
This book will teach you how to make use of the many AI features available today in Power BI to quickly and easily enrich your data and gain better insights into patterns that can be found in your data.
You’ll begin by understanding the benefits of AI and how it can be used in Power BI. Next, you’ll focus on exploring and preparing your data for building AI projects and then progress to using prominent AI features already available in Power BI, such as forecasting, anomaly detection, and Q&A. Later chapters will show you how to apply text analytics and computer vision within Power BI reports. This will help you create your own Q&A functionality in Power BI, which allows you to ask FAQs from another knowledge base and then integrate it with PowerApps. Toward the concluding chapters, you’ll be able to create and deploy AutoML models trained in Azure ML and consume them in Power Query Editor. After your models have been trained, you’ll work through principles such as privacy, fairness, and transparency to use AI responsibly.
By the end of this book, you’ll have learned when and how to enrich your data with AI using the out-of-the-box AI capabilities in Power BI.

Product Details

ISBN-13:	9781801816250
Publisher:	Packt Publishing
Publication date:	04/29/2022
Sold by:	Barnes & Noble
Format:	eBook
Pages:	348
Sales rank:	930,168
File size:	18 MB
Note:	This product may take a few minutes to download.

About the Author

Mary-Jo Diepeveen is an AI expert at Microsoft who focuses primarily on creating educational content around data and AI. Mary-Jo's passion for AI stems from her experience in neuroscience, where collecting and analyzing brain data to understand unconscious behavioral patterns led to an interest in machine learning and AI. This interest has continued to grow during her years at Microsoft, and she is often invited to talk and inspire others to get involved in tech.