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)
1
Part 1: AI Fundamentals
5
Part 2: Out-of-the-Box AI Features
13
Part 3: Create Your Own Models

Integrating Computer Vision or Custom Vision with Power BI

Whether you want to integrate a Computer Vision or Custom Vision model from Cognitive Services with Power BI, the process is similar. With both Azure Cognitive Services, you can use the model to score new data by using the endpoint and one of the authentication keys that will be generated.

Using the endpoint and key of a model, you can also integrate a Computer Vision or Custom Vision model in Power BI. The API call to the service is similar to the way we integrated language with Power BI in Chapter 8, Integrating Natural Language Understanding with Power BI.

Let's start by importing data in Power BI that includes image URLs. You can download the metadata table as a comma-separated values (CSV) file from GitHub at https://github.com/PacktPublishing/Artificial-Intelligence-with-Power-BI/tree/main/Chapter10/image-urls. Then, proceed as follows:

  1. Open the Power BI Desktop application.
  2. Add a new Data Source...