Objectives

The value of data has become crucial for the survival of businesses. Data Science and Artificial Intelligence are powerful tools for maximizing data utilization and making informed decisions.

By the end of this training, you will be able to:

Explain what AI and Data Science are
Understand how AI generates value in businesses
Describe the main stages of a Data Science project
Calculate the ROI of a Data Science project

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5

maximum number of people

7 hours

of training courses

French

as the main language

Prerequisites

There are no prerequisites for specific knowledge on Data Science or Artificial Intelligence to follow this training.

Target audience

Managers, business functions using data or support functions managing data, to create value on the company's products/processes/services.

Educational resources

The training alternates between theoretical contributions and participatory sessions with illustration by concrete cases (business use cases) or demonstrations of AI solutions.

Instructor profiles

Optimiser la façon d’utiliser les ressources pour créer le plus de valeur possible.

Training program

Training Program

Concepts and History of AI
- Definition of Terms
- AI in Popular Culture
- Weak AI vs. Strong AI
- History of AI
- Everyday Examples of AI
- Why Now?
AI Market Overview
- Overview of AI Technologies
- Machine Learning
- Deep Learning
- Generative AI
- Reinforcement Learning
AI in Business
- Describing Use Cases of Artificial Intelligence in Business
- Brainstorming Activity to Identify Potential Use Cases and Selecting AI Technologies
Implementing High-Value AI Projects
- AI Expertise vs. Domain Expertise
- Profiles of AI Experts
- Calculating ROI of a Machine Learning Project
The Importance of Data
- Data Visualization
- Data Quality
- Data Governance
- Data Lake
Key Considerations
- Interpretability and Explainability
- Bias
- Ethics

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