Why training employees in AI is essential?
AI is transforming jobs and work processes
With artificial intelligence, our professions and work processes are being redefined, from production to HR, including marketing and sales. AI tools make it possible to automate repetitive tasks and analyze large amounts of data. A time saving of up to 50% according to Francis Lelong, and allowing employees to concentrate on more strategic and creative missions.
HR professions are a good example. In recruitment, AI tools are able to filter applications by analyzing CVs to extract relevant skills and experience, identifying the most qualified candidates for a position. Likewise, by looking at behavioral indicators and key skills, AI helps HR teams identify candidates with a better chance of fitting in and succeeding over the long term.
Train in AI to meet the challenges of adaptability and skills development
Technological developments are inevitable. You must prepare and adapt as soon as possible by training your employees in AI tools (ChatGPT, Mistral, specific tool) to use them effectively and take advantage of the advantages they offer (productivity gain, working 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 perspective of personal development also strengthens their motivation and their commitment to the company. Finally, offering internal 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 on the subject presents 3 major obstacles:
Technical jargon
Algorithms, machine learning, neural networks... In AI training, we use technical language which can discourage uninitiated employees. Example: the term "data preprocessing" is not always understandable for employees who do not have computer skills.
Abstraction and lack of contextualization
AI concepts are abstract. Without concrete applications or demonstrations, employees have difficulty transposing them into their professional reality. Example: a logistics employee could have difficulty understanding the benefits of AI if they are not shown how it could help them. to optimize stocks or forecast demand.
Motivation and commitment
When the subject is complex like AI, it is difficult to engage in training. Example: a training module on neural networks that does not present fun or practical applications can quickly discourage learners. because of its technicality.
Gamification: an effective lever to simplify learning about AI in business
La gamification repose sur des outils et approches interactifs, ludiques et personnalisés, permettant ainsi aux collaborateurs de se familiariser avec des concepts techniques d’une manière engageante, amusante et efficace. Voici quelques exemples concrets de comment la gamification peut être utilisée dans le développement des compétences IA.
Break content into fun steps with challenges and quizzes
With gamification, it is possible to divide AI training into micro modules including interactive quizzes or challenges in order to transform technical jargon into simple, concrete questions. Concretely, quizzes can introduce basic AI concepts such as common applications, while validating what you have learned step by step.
Immersive simulations and scenarios
Real-world case simulations are very effective in allowing 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 the AI filters key skills and understands the benefits of the tool without getting lost in the technicality of its operation.
Feedback and error scenarios to progress
Gamification also makes it possible to integrate interactive feedback on errors and encourage continuous improvement. Employees can experiment freely, make mistakes, and receive immediate explanations, which helps them understand and correct their errors in a constructive way.
Example: in a simulation where an employee must configure a forecast model, immediate feedback could help them indicate why certain configurations did not produce the expected results, explaining concepts such as "data variability". This feedback helps him adjust his approach without apprehension.
Reward systems to encourage learners
At the end of each module, rewards such as badges, levels or certifications are given to learners. It’s an immediate way to motivate and encourage them to continue learning.
Example: Employees could earn specific badges like “AI Explorer” or “Machine Learning Specialist,” which they can display in their internal training profile. These visual rewards create additional motivation and a sense of accomplishment.
Our OuiLive gamification platform allows you to access our library of interactive and fun 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!
Curious to know more? Request your free demo!
