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

Which data is suitable for anomaly detection?

Anomalies are unexpected data points, so it is likely they are not even visible at first glance. There are, however, some other requirements your data needs to meet before you can make proper use of the anomaly detection feature in Power BI. Before we talk about the data requirements, let's first talk a little bit more about why we would use anomaly detection in Power BI.

Why use anomaly detection?

The reason we want to detect anomalies very much depends on the scenario. Let's go through some situations to help understand which data we can use when exploring the anomaly detection feature in Power BI.

Anomalies are per definition unexpected events, which means that they can come in many different forms. The main benefit of anomaly detection is that it can use unsupervised ML algorithms. Since it is unsupervised, we don't have to give the model examples to make sure it can actually detect anomalies in the future...