Enterprise AI in the Cloud

12Building Your Team

Coming together is a beginning, staying together is progress, and working together is success.

—Henry Ford

In this chapter, you embark on the fundamental task of building a collaborative team essential to kick-starting your AI project. The importance of assembling a synergistic team cannot be understated. This chapter delves into the various AI/ML roles and responsibilities involved in an AI implementation, be it the core roles such as data scientists and machine learning engineers or the equally crucial supporting roles such as security engineers.

Given that AI is taking center stage and evolving so rapidly, even noncore roles are quickly becoming core. What is essential, though, is to tailor these roles according to your specific business, project, and company requirements, and that's where this chapter comes in. You should also get good at transforming traditional roles, such as system administrators and business analysts, to harness your company’s existing knowledge base and expertise. This, coupled with judiciously tapping into external skill sets, can bridge any looming skills gap.

Building a team is almost an art; the goal is to assemble a diverse, cross-functional team with clear roles and responsibilities to drive effective AI transformation tailored to business objectives. See Figure 12.1.

This dream team will go on to steward your AI operations, starting from data processing in Chapter 15, model monitoring in Chapter 19, and managing the ethics ...