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 1: Introducing AI in Power BI

Everyone wants to be working with data. Organizations are keen on relying more on data-driven decisions instead of intuition-driven decisions. To be driven by data, we need to extract insights from data. Thankfully, Power BI is a great tool to visualize and share what the data tells us. To better understand what trends and learning we can derive from data, we can use techniques from the field of data science.

Data science and artificial intelligence (AI) are becoming increasingly popular approaches to extracting insights from data. Among other things, this is because these tools allow us to work with unstructured data, which we couldn't work with before. And this helps us to more quickly find complicated trends and patterns in the data.

In this book, we will focus on using Microsoft Power BI as a data exploration and visualization tool. And we will take some parts of the Azure cloud to give us the power to train models and integrate this with Power BI.

But first, let's start with some of the groundwork. We need to understand what AI is, to properly scope our projects and run them successfully. We need to know what is possible and how we go from a simple dataset to an AI model before we get into the details of each step of the process. That is why we will first dive into the following questions:

  • What do we expect from a data analyst?
  • What is AI?
  • Why should we use AI in Power BI?
  • What are our options for AI in Power BI?

Let's start with covering the basics.