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 data profiling tools

When creating Power BI reports, we can visualize key performance indicators (KPIs) and important charts to help us understand the data we work with. Once we are working with the data as fields from our report view, we need to go back into the Power Query Editor to make any changes to our data. To avoid going back and forth between these two views, you already want to understand some basic things about your data while you are still in the Power Query Editor in order to clean up your data accordingly. To already explore your data in the Power Query Editor, we can use data profiling tools. These easy-to-use tools will show us what our data looks like so that we can decide what transformations we still need to apply in the Power Query Editor.

The data profiling tools consist of three parts, as outlined here:

  • Column quality
  • Column distribution
  • Column profile

You can find these three features in the View tab of the Power Query Editor...