A. PROJECT MANAGEMENT DOMAIN: LEADING AN IA PROJECT

B. JOB/SECTOR DOMAIN: KNOW THE JOB/SECTOR OF THE AI PROJECT

C. FIELD OF AI TECHNOLOGY: DEVELOPING TECHNICAL AND DIGITAL COMPETENCIES

A1. Initiate an AI project.

B1. Develop job/sector expertise.

C1. Anticipate the problem.

A1.1 Develop an idea (ideation).

B1.1. Popularize, explain, translate what AI is, how it works, its applications in its sector

C1.1. Have a sufficient understanding of what AI is.

A1.2 Determine the needs of the different clienteles.

B1.2 Know, list the data related to the AI project.

C1.2. Distinguish a problem that can be solved by AI.

A1.3. Carry out the impact study.

B1.3. Identify the different sources of data (sensors) in the AI project

C1.3. Translate a business problem into an AI problem.

A1.4. Carry out the opportunity study.

B1.4. Combine a variety of perspectives so that the resulting AI solution is as representative as possible of the interdisciplinarity of the experts

C1.4. Translate the business need into technical prerequisites.

A1.5. Decide on the main orientations.

B1.5. Identify and understand the processes of the company/organization where AI could bring added value

C1.5. Describe the difficulties related to the problem in an AI project.

A2. Planning an AI project.

B1.6. Articulate the principles (logic, rules...) specific to the different professions involved in AI projects

C1.6. Plan an AI project.

A2.1 Project content management (Scope)

B2. Lead the digital transformation of the industry at level 4.0.

C1.7. Define the different steps required to complete an AI project.

A2.2 Cost Management

B2.1. Know the industry and the sector.

C1.8. Identify the technical issues in an AI project.

A2.3 Human resources management

B2.2. Master the steps of the digital maturity of a company/organization.

C1.9. Identify the technical dependencies in an AI project.

A2.4 Risk management (CEN, 2014, p. 44)

B2.3. Define a deployment model for the digitization of the company with the different clienteles.

C1.10. Translate exchanges into common AI language.

A3. Execute an AI project.

C2. Manage the data.

A3.1. organize an AI project following the agile method (iteration).

C2.1. Describe the current state of an organization’s data.

A3.2. Carry out an action plan.

C2.2. Select data sources for the AI project.

A3.3. Follow the different steps of the action plan.

E. DOMAIN OF TRANSVERSAL COMPETENCIES: DEVELOP HUMAN AND RELATIONAL COMPETENCIES

C2.3. Manage the data processing process.