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 anomaly detection in Power BI

Now that we have time-series data ready to go and understand what the anomaly detection feature in Power BI does, it's time to try it out.

Importing the sample dataset into Power BI

To follow along with the steps to enable anomaly detection in Power BI, make sure you have imported the tourism dataset. You can download the dataset from GitHub via the following link:

Save the downloaded dataset on your local system and name it tourism-details.csv. Import the dataset into Power BI and leave the query name as tourism-details, as it will be referenced by that name. The query will consist of four fields: Period (categorized as date), Accommodation type (categorized as text), Travel (categorized as text), and Tourists (categorized as whole number).

Enabling anomaly detection in Power BI

Once you have the data in...