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 7: Using Cognitive Services

Azure provides application programming interfaces (APIs) with prebuilt artificial intelligence (AI) models to save time and money when trying to integrate AI into your solutions. In this chapter, we'll learn which models we can use and when.

Many organizations already see the value of machine learning (ML) models but do not have the resources to invest in them. Power BI users can easily and quickly make use of pretrained models with Azure Cognitive Services. Using these services, you can easily extract insights from unstructured data such as text and images.

When visualizing customer feedback, you can use Azure Cognitive Services to visualize the average sentiment of customer feedback over time. For example, imagine being able to not only track Twitter data on your company's brand but also find out whether people are talking about your brand positively or negatively.

To learn what exactly we can extract from text and images,...