AI projects

Building the team for AI project implementation

AI isn’t just about frameworks, data sources and pipelines—it’s also about people. Enterprises embarking on an AI journey have a much greater opportunity for success when they have executive leadership support and the right talent in key AI roles. Next, there are here are suggestions concerning who should be on an AI team:

 

Strong supporter from the key management
Systems architect
Data engineer
Data scientist
Development, quality assurance and operational engineer
Business analyst

 


It can be argued that In many companies, such experts are not available. But in some cases, AI roles can be filled through education and training of existing employees and recruitment of others as needed. Employees may also need help in using the results of machine learning as part of their day-to-day activities. Employee education can be accomplished through a combination of in-person and online courses in addition to hands-on experience. Bringing in experienced experts to work with employees on delivering the first use cases is recommended.

Exercise

Explain what kind of knowledge and competence are needed from employees before starting an AI project.

Exercises

Exercise: Multiple choice

Which person/role should be first or second in the correct order within an IA project team?

Erasmus logo
The European Commission's support for the production of this publication does not constitute an endorsement of the contents, which reflect the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.
cookieCookies help us deliver our services. By using our services, you agree to our use of cookies.