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

Chapter 8: Integrating Natural Language Understanding with Power BI

Whether you are working with small or large amounts of text, it is challenging to automate the ability to extract insights. Imagine customers leaving you with product reviews. By recognizing trends or common issues, you know how to improve the product.

To analyze unstructured text, you can use prebuilt models from Azure Cognitive Services. You can easily integrate these models with Power BI. After using natural language understanding (NLU) models to extract data from text, you can visualize the insights using a Word Cloud.

In this chapter, we'll cover two main ways to call the Language APIs in Power BI Desktop, after which we'll visualize the insights to create a Power BI report. To do this, we will be covering the following topics:

  • Using Language APIs in Power BI Desktop
  • Visualizing insights from text in reports

Upon completing this chapter, you'll be able to analyze unstructured...