They’re often very high up in the organization. How have you seen the role of chief AI officer structured? Some teams will also have product managers. Depending on the specific project, this would include machine-learning engineers, data scientists, applied scientists, data engineers or other roles. The AI team also needs the engineering talent to execute on the AI project. Further, they need to work cross-functionally with business leaders to identify and drive projects forward in AI+X, where X is whatever sector AI is meant to add value to. The leader of the AI team-whether a CAIO (chief AI officer), VP of AI or other role-needs to understand enough about the technology to have a sense of what can and cannot be done.

What roles and skills do you need to recruit for when building an AI team? Giving the team its own budget, rather than forcing it to be funded by the business units, can give it a faster start. Learn more about how companies are leveraging AI today.Ī small team empowered to act quickly and even fail should be able to test an application within six to 12 months. That’s why it’s critical to test a few applications first to really understand what AI can do in one particular area of business. It’s very difficult to hire AI talent that knows all of these vertical applications. There are dozens of applications-everything from weed control to interpreting satellite imagery to optimizing the harvesters.

For example, AI has been reducing work in agriculture. In most companies, AI will be used for multiple projects. Ultimately it will be the teamwork that drives the application. Then this centralized team can work cross-functionally with all business leaders to develop specific AI applications. They need to understand the capabilities of computer learning.

You need talent that has a deep knowledge of modeling.

Tf2 the value of teamwork