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 forecasting in Power BI

We collected historical data and imported it into Power BI, and we considered the limitations of forecasting in Power BI. Now, let's go through the steps of adding a forecast to a line chart in Power BI and how to configure it.

Before you walk through the following steps, make sure you have imported the tourism dataset into Power BI, as described in the Using an example – tourism data section.

Once you have imported the dataset into Power BI, you should have a table or query named tourism-data that consists of two fields: Period (categorized as date) and Total tourists (categorized as whole number):

  1. Create a line chart with Year on the axis and Total tourists as the values.
  2. Select Expand all down to go down two levels in the hierarchy. You should have a line chart, as shown in Figure 4.8:

Figure 4.8 – A line chart of Total tourists by Year

This means that we visualized the amount of...