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

Creating a question answering service

To create an interactive question answering app that is integrated into your Power BI report, we will use one of Azure's Cognitive Services offerings. One of the Language APIs of Cognitive Services offers an easy and quick way to create and manage a question answering service.

The question answering service is perfect for when we want to avoid a huge document with text that users have to navigate through. Instead, we want to offer a more intuitive way of getting the answer to a question. And what is more intuitive than simply being able to ask the question as you would to a colleague?

Understanding the application of question answering

What we are essentially creating in this chapter is a smart search engine. The information we want to share with our users is static. Think about a glossary of terms you may have for the variable names you included in your Power BI report, or more practical information you want to provide to users...