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 3: Data Preparation

The most important input for Artificial Intelligence (AI) is the data you have. You must ensure that you have enough data and that it is of good quality. The first step we take after importing data into Power BI is exploring the data to make sure we understand what we are working with. The next step is to clean the data and prepare it for our AI applications.

In this chapter, we'll learn about the common problems we may have with our data and how to fix them. It is important to prepare the data properly in the Power Query Editor as this will help us in extracting the right insights from the data using AI. The common problems we will talk about in this chapter are as follows:

  • Fixing the structure of your data
  • Working with missing data
  • Mitigating bias
  • Handling outliers