A3.4. Implement project activities.

E1. Demonstrate relational intelligence.

C3. Understand the algorithms.

A3.5. Facilitate the realization of products or services.

E1.1. Adopt a human approach.

C3.1. Identify the issues of continuous training of a deployed AI solution.

A3.6. Analyze problems submitted by the team.

E1.2. Establish a transversal communication.

C3.2. Consider resources when training and releasing an AI solution to production.

A3.7. Write reports and debriefings for various clients.

E1.3. Foster collaboration.

C3.3. Be able to validate theoretical models.

A4. Monitor & control the AI project.

E1.4. Advise teams.

A4.1. Use available project management tools, models, and resources to effectively manage the AI project.

E1.5. Understand stakeholder and team demands/expectations.

C4. Manage the quality of the AI solution.

A5. Close the AI project.

E1.7. Provide creative and collaborative leadership.

C4.1. Master AI solution performance metrics and their interpretation.

A5.1. Evaluate the AI project in order to assess it (post mortem to see how the process worked).

E1.8. Demonstrate emotional intelligence ( AdmA, 2019, L4 ).

E1.9. Manage innovation.

C4.2. Ensure data quality.

C4.3. Ensure the quality of the algorithms.

A5.2. Transfer knowledge from project to project (post mortem).

E1.10. Manage diversity in all components of a project.

C4.4. Ensure the quality of the result of the algorithms.

E2. Demonstrate interpersonal competencies and human qualities.

C5. Identify the technological environment.

E2.1. Demonstrate agility in relation to the AI project.

C5.1. Carry out technological survey

D. FIELD OF GOVERNANCE OF AN AI PROJECT: MONITORING THE ISSUES OF GOVERNANCE

E2.2. Demonstrate curiosity.

C5.2. Compare the strengths and weaknesses of different technological solutions

D1. Ensure the governance of an AI project.

E2.3. Demonstrate autonomy.

C5.3. Determine the key technological elements.

D1.1 Translate the will of an organization.

E2.4. Demonstrate adaptability ( AdmA, 2019, L14 ).

C5.4. Optimize the key technology elements.

D1.2 Define the governance of the data in the context of the AI project.

E2.5. Demonstrate argumentation ability.

C6. Implement the AI solution in Industry 4.0.

D1.3. Interpret the demands associated with the AI project according to the global strategy of the organization.

E2.6. Demonstrate critical thinking skills.

C6.1. Pilot the implementation of the AI solution.

D1.4. Know the ecosystem of the AI domain.

E2.7. Demonstrate computational thinking skills.

D1.5. Master project portfolio management methods.

E2.8. Demonstrate problem solving skills.