Artificial intelligence (AI), and in particular generative AI, holds the promise of profoundly revolutionize business operations. Despite the numerous opportunities offered by this technology, many companies are still struggling to fully achieve their IA objectives.
Why do companies often fail to adopt AI?
Because it's all about the people. It is they who, on a day-to-day basis, will decide whether or not to use artificial intelligence tools. Without the concrete involvement of teams, initiatives remain marginal or ineffective.
For theAI is really adoptedcompanies need to involve their employees from the outset: understand their working methods, identify with them the tasks that can be automated, and co-construct concrete use cases. As Bpifrance Le Lab points out: in 40 % of cases, these are employees themselves driving AI adoption (2025). Their participation is therefore a key lever for success.
But to participate, you need to understand. Training employees becomes essential. Without acculturation and a common base, AI remains perceived as abstract and risky. Microsoft reminds us: 99 % of employees not trained in AI do not use it. And although 66 % declare that they have launched training initiatives, the training provided by SMEs/ETIs remains limited. often limited in scope or too general (Bpifrance Le Lab, 2025).
To overcome these obstacles, it is essential to ask AI basics with teams, through adapted and accessible formats at all levels. Good training starts with the acquisition of fundamentals of artificial intelligenceto enable clear understanding and practical use.
To put it plainly: the integration of AI into the enterprise cannot be decreed. built with the teamsby focusing on understanding, pedagogy and use cases aligned with everyday life.
Learning AI: in-person training vs. online courses
For learning artificial intelligencecompanies can call upon in-person training courses or online coursesmore and more popular.
In-person AI training: benefits and limitations
Advantages :
- Direct interaction with trainers.
- Immediate opportunity for clarification and discussion.
- Creating a motivating group dynamic.
Limits :
- One-off sessions quickly overtaken by technological developments.
- Low level of customization.
- Cost is often high.
- Logistical difficulties in bringing all employees together simultaneously.
AI online training: current advantages and limitations
Advantages :
- Permanent accessibility, individualized progress.
- Regular updating of simplified content.
- Significantly lower costs than in-person training.
- Each employee can progress at his or her own pace through online courses tailored to the basis of AI.
Common limitations of current online training :
- Overly generic content, poorly adapted to specific needs.
- Lack of proactive recommendations, leaving learners to fend for themselves.
- Insufficient updates in the face of rapid developments in generative AI.
- Risk of dropping out due to lack of human interaction and regular follow-up.
Ventureo Academy optimizes e-learning for better AI integration
To maximize the successful and sustainable adoption of artificial intelligence, Ventureo Academy takes online courses to the next level towards a more suitable solution :
- Customized courses The new software: tailored to specific professions, levels and use cases.
- Intelligent, proactive recommendations thanks to a chatbot Ongoing support to guide learners and answer any questions they may have.
- Frequent updating Constant updating of content to keep pace with rapid technological advances, particularly in generative AI.
- Enhanced interactivity The "I" factor: integration of regular exchanges with experts and peers to maintain commitment.
- Certifications validate their skills development, recognize their mastery of fundamentals of artificial intelligence and to motivate learners
The benefits of AI in business: AI is not a fad
Artificial intelligence (AI) is no longer a futuristic gadget, it's a reality. real competitive leverage. According to a McKinsey study, companies that adopt AI on a large scale can increase their operating margin by 5 to 10 %. Intelligent automation would also make it possible to reduce operating costs by up to 30 %This is particularly true in sectors such as finance, logistics and customer service. An analysis by PwC estimates that AI could generate up to $15.7 trillion in global economic gains by 2030, of which more than 6,600 billion linked to productivity improvements. Finally, according to Capgemini, 73 % of companies that have integrated AI solutions declare a measurable improvement in customer satisfactionwith faster responses, more precise recommendations, and better request management.
Artificial intelligence: an opportunity to be seized, not a threat to be feared
Far from replacing employees, theInstead, artificial intelligence will replace those who don't know how to use it effectively. In the future, mastering AI will become as essential on a CV as current use of the Pack Office. It is therefore strategic for companies to invest now in a continuing education in artificial intelligencein particular through online coursesOur products are renowned for their accessibility and efficiency.
Conclusion: successful AI integration starts with effective training
In short, the successful integration of artificial intelligence in the enterprise requires a adapted and continuous training. The AI objective depends primarily on collaborators well-trained, ready to exploit this transformative technology effectively on a daily basis. Investing in online traininganchored on AI basicsis to guarantee tomorrow's competitiveness and innovation.
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