Train your employees in AI skills through gamification

Why is training employees in AI essential?

AI transforms businesses and work processes

AI training: it's our jobs and work processes that are being redefined, from production to HR, via marketing and sales. AI tools make it possible to automate repetitive tasks and analyze large quantities of data.

According to Francis Lelong, this can save up to 50% of time, enabling employees to concentrate on more strategic and creative missions.

HR professions are a good example. In recruitment, AI tools are capable of filtering applications by analyzing CVs to extract relevant skills and experience, identifying the most qualified candidates for a position.

Similarly, by examining behavioral indicators and key skills, AI helps HR teams identify candidates with a better chance of integration and long-term success.

Training in AI to meet the challenges of adaptability and skills upgrading

Technological change is inevitable. You need to prepare and adapt as early as possible by training your employees in AI tools (ChatGPT, Mistral, specific tools) to use them effectively and take advantage of the benefits they offer (productivity gains, work comfort).

Developing employees' AI skills also helps maintain their employability.

Those who master the use of AI tools are better equipped to evolve with their position or to position themselves in new roles. This personal development perspective also strengthens their motivation and commitment to the company. Finally, offering in-house AI training is an important lever for retaining talent and attracting new profiles.

Complexity and engagement: the challenges of AI training

Artificial intelligence is a complex subject, and training courses on the subject present 3 major obstacles:

Technical jargon

Algorithms, machine learning, neural networks... In AI training courses, technical language is used that can put off uninitiated employees.

For example, the term "data pre-processing" is not always understandable for employees without computer skills.  

Abstraction and lack of context

AI concepts are abstract. Without concrete applications or demonstrations, employees find it difficult to transpose them into their professional reality.

For example, a logistics employee might find it hard to grasp the benefits of AI if we don't show him how it could help him optimize stocks or forecast demand.

Motivation and commitment

When the subject is as complex as AI, it's hard to commit to training.

For example, a training module on neural networks that doesn't include fun or practical applications can quickly discourage learners because of its technical nature.

Gamification: an effective lever for simplifying AI learning in companies

Gamification is based on interactive, playful and personalized tools and approaches, enabling employees to familiarize themselves with technical concepts in an engaging, fun and effective way. Here are a few concrete examples of how gamification can be used to develop AI skills.

Break content down into playful stages with challenges and quizzes

With gamification, AI training can be broken down into micro-modules comprising interactive quizzes or challenges, so as to transform technical jargon into simple, concrete questions. In concrete terms, quizzes can introduce basic AI concepts such as common applications, while validating what has been learned step by step.

Immersive simulations and scenarios

Real-life case simulations are very effective in enabling employees to visualize how AI tools can be used in their field of activity.

Example: a simulation could invite an HR employee to use an AI system to pre-select candidates by automatically analyzing CVs. By taking part in this simulation, the employee discovers how AI filters out key skills, and understands the benefits of the tool without getting lost in the technicalities of how it works.

Feedback and error scenarios for progress

Gamification also makes it possible to incorporate interactive feedback on mistakes and encourage continuous improvement. Employees can experiment freely, make mistakes, and receive immediate explanations, helping them to understand and correct their mistakes constructively.

Example: in a simulation where a collaborator has to configure a forecasting model, immediate feedback could tell him why certain configurations didn't produce the expected results, by explaining notions such as "data variability". This feedback helps him to adjust his approach without apprehension.

Reward systems to encourage learners

At the end of each module, learners are given rewards such as badges, levels or certifications. This is an immediate way of motivating them and encouraging them to continue learning.

Example: employees could earn specific badges such as "AI Explorer" or "Machine Learning Specialist", which they can display in their internal training profile. These visual rewards create extra motivation and a sense of achievement.

Our OuiLive gamification platform gives you access to our library of fun, interactive content to train your employees in the practical use of AI. Quizzes, challenges, connected challenges and educational information - everything is fully customizable to meet your needs! 

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