Artificial Intelligence | Lesson 4.1

AI Innovation Workflow Overview

In this section, you will be introduced to the world of AI innovation. Consider machine learning as a toolbox full of various tools. In the first three sections, you learned what these tools are and what they can be used for. Next you will learn how to use these tools to build an AI model and the steps required for building an AI module.

We will start by introducing the innovation framework for an AI model. We will discuss the steps to identify AI projects, prioritize them, evaluate the risk of investing in them, and break them down into smaller segments to ease communication with the engineers. Finally, we finish the innovation framework by introducing the Framing Canvas which will teach you how to translate the output of all this preliminary work into a description of your project that a technical team can consume. We then discuss how to build an AI team with the right set of skills. We finalize this section by addressing the difference between the data science and machine learning frameworks.