Artificial Intelligence with Microsoft Power BI

Chapter 12. Making Your AI Production-Ready with Power BI

You might wonder whether nontechnical people can help evaluate AI models and prepare them for practical use. In fact, even if business teams do not have a deep knowledge of AI or technology, they can make essential contributions to the evaluation of AI models. For example, businesspeople can offer many insights into why the data is formatted or recorded in a certain way—contextual information that may not be immediately apparent.

As mentioned throughout the book, the business objectives must be explicit from the outset. Throughout the development lifecycle, people’s enthusiasm can run away with them, leading them to generate many ideas quickly. It is heartening to see business teams be so engaged with AI. However, if you and your team are tasked with translating all these ideas into action, it may feel overwhelming. The project can be derailed when bubbling-over enthusiasm causes people to change objectives halfway through the project—or more frequently! Stakeholder enthusiasm and the technology team’s eagerness to please can result in chaos.

This chapter will explore how businesses can evaluate artificial intelligence models. We will start by looking at strategies to help with the assessment of models. Then you’ll apply a model to a dataflow entity, and you’ll learn how to use the scored output from the model in a Power BI report. We’ll also address some practical ways to evaluate your model from a business perspective. ...