Causal Artificial Intelligence

CHAPTER 5Creating a Model with a Hybrid Team

In the first part of this book, we defined what we mean by causal AI and the type of services and capabilities that are required to determine the cause and effect of complex business problems. In such cases, the goal of causal AI is to provide a platform that enables it to determine why such problems have occurred and the best approaches for changing outcomes. Causal AI is intended to take the guesswork and emotions out of decision-making. Being successful with a causal AI approach requires a team of professionals across disciplines.

This chapter will provide an overview of the importance of creating a hybrid team to implement a causal AI approach to solving business problems. How can a team understand why a situation has occurred and what to do to make a change? The focus of our discussion will be on what it means to leverage a hybrid team to create a causal AI solution. The process of working with a hybrid team requires a structured approach to defining both the roles of individuals and how they work together on a common goal. The power in the collaborative causal AI approach is that there are not simple handoffs from one team to another but a continual cycle of development.

What does it take to create a model that both is technically sophisticated and reflects the business objectives? In brief, before creating a model, it is important to assemble a group of experts to participate in the project. There will be a core team that ...