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


In this chapter, we discussed what skills you bring in as a data analyst, what you need to know about AI, and why combining AI and Power BI helps in the adoption of AI, and gave you a sneak peek into what we will cover in the rest of this book, namely the options for AI in Power BI. Not all options may be relevant for you or your organization, but at least subsequent chapters will provide you with a clear overview of what is possible so that you can educate yourself and others. Hopefully, this will give you the understanding of AI needed to help your company create a clear strategy on how to become a more data-driven organization that uses AI at a large scale.

In the next chapter, we will focus on the first input we need to train a model: the data. We will talk about how we can explore our data so that we understand what the input will be or what we need to do to make sure it is the right dataset for the job.