Chapter 2. Personas and Effective Communication Among Them
As organizations work to set themselves up for success in building artificial intelligence, the question of who to involve in the process is one they need to consider. When it comes to building AI, data scientists play a role, but they cannot handle the required workloads all on their own. In this section, we’ll talk about the various personas that organizations need to get involved when building AI, and we’ll give some guidelines on how they can best work and communicate with one another for the sake of expeditious product delivery.
There can be many roles and titles involved with model development, so while they will change from organization to organization, what follows is a typical set of personas included in an effort to build AI. The definitive set of groups that should be established is leadership, analysis and engineering, data and governance, and design and visualizations. We’ll cover each of these groups in this section.
Keep in mind that this section reflects a current view of building AI in a company that we presume has certain roles, departments, and governance capabilities. If an organization hasn’t built out a governance and risk team, for example, it should consider who to involve based on who owns those functions.
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