Publication date : 10/01/2025

Course : Adding value to data through artificial intelligence Machine Learning

Designing AI/data projects to create value

Seminar - 2d - 14h00 - Ref. IAV
Price : 1850 € E.T.

Adding value to data through artificial intelligence Machine Learning

Designing AI/data projects to create value



AI impacts all business processes, with significant potential gains in profitability. It is therefore necessary to deploy an AI/data culture, beyond the technical teams, because it is the "business" who will have to imagine new uses, products and business models based on AI.


INTER
IN-HOUSE
CUSTOM

Seminar in person or remote class
Available in English on request

Ref. IAV
  2d - 14h00
1850 € E.T.




AI impacts all business processes, with significant potential gains in profitability. It is therefore necessary to deploy an AI/data culture, beyond the technical teams, because it is the "business" who will have to imagine new uses, products and business models based on AI.


Teaching objectives
At the end of the training, the participant will be able to:
Understanding the principles of artificial intelligence (AI)
Acquire vocabulary related to artificial intelligence
Discover the main business applications of AI
Understanding the risks of AI
Become aware of the components required for an AI/data strategy

Intended audience
Executives, decision-makers, project directors and managers, product managers, project managers.

Prerequisites
No special knowledge required.

Course schedule

1
What is AI?

  • Warm-up: AI/data culture.
  • Definition and vocabulary AI, data.
  • AI/data in business, an opportunity.
  • Key market players.
  • The reality of corporate implementation.
Storyboarding workshops
Discussions and quizzes on AI culture and data.

2
How does AI/data work?

  • Data literacy: definition, principles.
  • The data life cycle.
  • Uses: from descriptive data analysis to predictive analysis.
  • Principles of machine learning.
  • Introduction to deep learning.
  • Perception (vision, language, etc.) or how to process unstructured data.
Exercise
Quiz on machine learning.

3
Why AI/data?

  • Illustration of AI applications with numerous use cases.
  • Feedback from various corporate sectors: marketing/sales, HR/finance, production/quality, maintenance.
Storyboarding workshops
Discussion of the projects presented.

4
Challenges and risks

  • Impact of AI on jobs and skills.
  • Zoom in on algorithm explicability and bias.
  • Regulation and/or self-regulation.
  • Other ethical issues.
Storyboarding workshops
Skills, transparency of algorithms, bias, explicability, etc.

5
Preparing for AI/data

  • Strategy and data culture.
  • What skills do you need?
  • Data issues: quality, availability, representativeness, etc.
  • The specifics of AI/data projects.
  • From defining the use case to the challenges of production and maintenance.
Storyboarding workshops
Key success factors for implementing AI.

6
What applications for business?

  • Which applications for my business?
  • Imagining AI/data projects to create value.
Exercise
Group ideation exercise to imagine AI applications and their main components (use cases, data, model, skills, etc.).


Customer reviews
4,2 / 5
Customer reviews are based on end-of-course evaluations. The score is calculated from all evaluations within the past year. Only reviews with a textual comment are displayed.
HERVÉ T.
02/10/25
5 / 5

Very conceptual training, but very interesting thanks to the trainer
VALERIYA P.
02/10/25
5 / 5

Very good presentation (my coast's first approach to the subject), clear, precise, well-paced, nothing to complain about.
ANTHONY F.
25/09/25
4 / 5

The content is interesting and dense, and it would be good to have the slides printed out.



Dates and locations
Select your location or opt for the remote class then choose your date.
Remote class

Last places available
Guaranteed date, in person or remotely
Guaranteed session

REMOTE CLASS
2026 : 2 June, 17 Sep., 8 Dec.

PARIS LA DÉFENSE
2026 : 31 Mar., 26 May, 10 Sep., 15 Dec.