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 Cognitive Services for LU

One of the Azure Cognitive Services is Language. Language refers to any insights and meaning we can derive from text. Two features within this category are interesting to use with Power BI, as outlined here:

  • Text Analytics: This includes many features that help extract information from unstructured text.
  • Question answering: This creates a search engine on a knowledge base that contains mostly text that can be queried with natural language.

In the following sections, we will delve into the options we have to analyze text, and how we can use question answering to create an intuitive search engine from a knowledge base that resides outside of Power BI.

Using Azure's Text Analytics

Text can be easy for us to read but is hard for data analysts to work with. As part of your data, you may have product reviews or feedback forms that are challenging to visualize in Power BI. To extract some key insights from unstructured text such...