Book Image

Artificial Intelligence with Power BI

By : Mary-Jo Diepeveen
Book Image

Artificial Intelligence with Power BI

By: Mary-Jo Diepeveen

Overview of this book

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.
Table of Contents (18 chapters)
Part 1: AI Fundamentals
Part 2: Out-of-the-Box AI Features
Part 3: Create Your Own Models

Using Language APIs in Power BI Desktop

Whether you are working with small or large amounts of text, it can be challenging to extract interesting insights from text that can be visualized in Power BI.

Depending on the text you have and the reason you want to analyze it, there may be different insights you want to extract from it. The three most common insights that are extracted from text are as follows:

  • Key phrases: To find the main concepts in a piece of text
  • Sentiment labels: To determine whether the text is positive or negative
  • Language: To detect which language the text is written in

In this section, we'll focus on these insights to explore how they can be extracted from text in Power BI, and how those insights can be visualized. The same approach can be used for any other insights you may want to derive from text by using other models or APIs.

Once you have loaded data into Power BI that contains text, the easiest way to derive insights from...