As AI develops within companies, it is becoming clear that the role is no longer specialized but calls for a well-rounded teams. Having a group of professionals that can gather, process, and implement data creates a distinct advantage in budget and time. Utilizing leaders and and thinkers outside of the data science spectrum can facilitate in creating an attractive end product that appeals to the market. A shift is taking place from PhD candidates to those who can speak the language of both science and business. As more companies adapt an “AI-First” approach, more companies are being called upon to review the process from its start as raw data to its end in business value.
https://econsultancy.com/recruiting-ai-talent-data-scientists/
“A successful AI team does not only include data scientists and software engineers, though those positions certainly lead the team. More AI teams are adding project managers, marketers, and UX/UI staff to round out the team. The idea here is that while data scientists and engineers have the technical skill sets, the other positions fully understand the product. This intelligence can help to shape the AI product or service, ensuring it appeals to the market. Although data positions still lead AI teams, companies are beginning to see the value of pairing the team with other departments.”
