How Will Generative AI Impact the Future of Training?

Artificial intelligence and more specifically generative AI (iAgen) are part of our daily lives. Generative AI is a cutting-edge technology that is revolutionizing how we interact with connected devices. It makes complex tasks simpler and more intuitive, and provides clear and accurate answers in virtually every area thanks to its ability to analyze, automate, and customize. In business, generative AI opens up new possibilities in terms of experience, creativity and innovation. It brings new perspectives by making it possible to generate original content with high added value for employees and their ecosystem. And in terms of training, generative AI is also a considerable asset for businesses. After defining the contours of generative AI, we will see how AI-powered platforms dedicated to online learning (learning platforms) change corporate training engineering and contribute to the development of employee skills.

What is generative AI?

Fundamental concepts of generative AI

Generative artificial intelligence is a category of artificial intelligence. While so-called classical AI processes and automates specific tasks such as predictive analysis, image recognition, and logistical optimization, generative AI is distinguished by its ability to produce original multimedia content independently. Generative AI is used in particular in artistic creations (images and sounds), text generation, product design and prototyping, computer programming...

How does generative AI work?

Generative AI works by creating powerful algorithms that can analyze massive amounts of data, recognize complex patterns, make decisions independently, and solve problems using reasoning similar to that of the human brain. It is a process of imitating human intelligence whose main components are:

• Machine learning,
• Reasoning based on elaborate cognitive processes,
• Natural language processing (language model),
• Perception, with the recognition of images, sounds...

In summary, generative AI uses machine learning models to create content independently. Unlike traditional AI, which provides an optimal response based on available data and rules defined through algorithms, generative AI has the ability to produce several results from a prompt or a query.

What are the different types of generative AIs?

There are several types of generative AI, which produce a variety of results:

• Models based on transformers. They are based on an architecture that analyzes a global context to produce content. They are involved in the processes of generating texts, summaries, automatic translations, chatbots...
• Models based on generative adversarial networks (GANs), used for the generation of realistic images, synthetic videos, 3D modeling. They work with two neural networks. The first is a data generator, the second, the discriminator, assesses their authenticity.
• Distribution models that allow images to be generated from textual descriptions. These models used by generative AI Midjourney or Dall-E are used in particular for the creation of products, in the fields of marketing and training...

How to use generative AI at work?

Integrating generative AI is a vector of progress for businesses. Thanks to this cutting-edge technology, organizations are increasing their competitiveness, productivity, and agility. Businesses that use generative AI in their internal and external processes gain efficiency in competing markets. The automation of administrative tasks, the creation of content, the improvement of training courses with generative AI are also considerable assets for the company. This makes it possible to change the company's working methods and jobs by valuing the unique human skills of employees.

What are generative AIs?

Among the most famous generative AIs, we find the open source ChatGPT and Dall-E content generators from the OpenIA publisher, Gemini (formerly Bard), an application developed by Google, the Microsoft Copilot tool, and the Midjourney image generation platform, and the Midjourney image generation platform... Many other generative AIs are used in various digital applications on mobiles and fixed terminals.

Generative AI applications in business

Generative AI applications are numerous in business. They are found in just about every sector, with:

• Content creation: to automatically produce various text formats such as articles, online content, reports, emails, even marketing or internal communication campaigns. The intervention of generative AI in the production of content saves time and efficiency for activities that are usually time-consuming.
• Graphic design: to produce all the visual elements (logos, designs) that the company needs for its internal and external communication.
• Optimizing business management processes: generative AI improves the flow of various operations within the company: purchasing procedures, supply chain, logistics...
• The use of intelligent chatbots: these real-time conversational agents improve customer support and relationships. Generative AI dynamically and personalized manages responses to customer requests, for shorter processing times, efficiency and an optimized user experience.

Generative AI improves business digital security through the continuous analysis of critical data, the automatic generation of notifications, and the triggering of protection and backup procedures.

Generative AI training: what use cases?

In the field of training with generative AI, the use of this technology in the various sectors of the company is changing the training needs of employees, the organization of courses, the creation of educational materials and the methods of assessment. It is profoundly transforming corporate training by offering innovative and effective solutions to training managers and learners. Generative AI makes it possible to better design and manage training strategies within organizations.

Training with generative AI takes full advantage of the benefits of artificial intelligence. Here are the main use cases of artificial intelligence applied to the field of training.

The creation of personalized training courses with generative AI

Generative AI makes it possible to adapt the pedagogical approach according to learners' profiles. Depending on the context, it is possible to adapt the training courses, to determine different modules and adapted progression grids. Training with generative AI promotes the individualization of programs, content, relevant resources and rhythms, allowing everyone to achieve their goals of increasing skills.

The creation of personalized training content

Training with generative AI makes it possible to produce a variety of educational content, e-learning course materials, multiple choice questions in a short time, adapted to learners' profiles, to the phases of acquiring new skills and controlling knowledge.

The automation of educational tasks

Generative AI supports learners and generative AI training managers throughout the curriculum. It takes care of the automation of educational tasks (analysis of feedback and treatment of questions), the curation of content (which consists in collecting information useful to the audiences concerned), the generation of training reports, the monitoring of registrations, the sending of information for the follow-up of training sessions, the phases of knowledge control...

Improving the user experience

E-learning training platforms (LMS) integrate intelligent chatbots that provide interactive and personalized user support. This tool provides answers in real time and at any time of the day to the questions asked. This promotes the commitment of the learner in the process of acquiring skills.

Accelerating learners' skills development

Thanks to personalized training courses and the rapid production of adapted educational content, generative AI training contributes to improving the effectiveness of courses and to accelerating the development of learners' skills.

The more accurate evaluation of training with generative AI

Through the generative AI training platform, you have access to a customizable dashboard allowing you to monitor the different stages of a training course, to assess the relevance of the program according to the objectives sought and the profile of the learners, and the intermediate results. This dashboard guarantees the monitoring of training actions and allows training processes to be adjusted with agility according to the strategic objectives of the company, the needs of the learner and his profile.

This personalized portal synchronizes the evolution and progress of the learner in real time, simplifying the monitoring of the training program, the achievement of objectives and human interactions.

Operational reports

Generative AI training uses numerous advanced analysis and reporting tools. They facilitate access to information and simplify the generation of reports based on defined criteria and learning objectives. The generation of these reports in real time accompanied by dynamic visuals is a strong engagement tool for learners who can interact and monitor their skills development on various subjects. These reporting reports also allow HR managers and educational managers to change programs and content for greater efficiency.

It is also interesting to complement these generative AI training sessions with generative AI training. This makes it possible to demonstrate to employees who are most distant from the computer tool the interest and benefits of generative AI in improving their working methods and their performances. More informed audiences can fully integrate the generative AI tool into their daily professional activities.

What are the benefits of generative AI?

Generative AI brings numerous benefits to the organization, including:

• The optimization of business processes,
• A potential gain in time and performance in all functions of the company,
• Streamlining processes and reducing costs,
• Improving the customer and employee experience.

Applied to training, instructional AI is an essential innovation that has a decisive impact on the professional effectiveness of employees. It contributes to the transformation of training for the benefit of learners who have the opportunity to develop their careers through personalized courses. Generative AI training also contributes to improving the effectiveness of training managers in carrying out their missions. The advantages of generative AI training are therefore also numerous:

• Automation of repetitive intellectual tasks and increased productivity,
• Fast creation of personalized educational content,
• Personalization of training courses,
• Real-time monitoring and evaluation of the smooth running of training programs,
• Provision of intuitive and customizable interfaces facilitating access to educational functionalities and improving the engagement and participation of training actors (learners, training managers).
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All of these interactive and innovative teaching tools form a favourable learning environment. With more ease in participating in training programs, employees quickly assess the benefits and more spontaneously participate in a process of increasing skills for themselves and the company. The rates of course attendance and satisfaction with generative AI training devices are much higher.

The result is better consideration of the benefits of continuing vocational training throughout the career of employees. Generative AI training tools (LMS platform) make the link between the company's goals and skills needs and the personalized career and development plans of employees.

What changes does generative AI bring to businesses?

Generative AI as a source of innovation

In addition to improving the performance and efficiency of organizations, generative AI stimulates innovation in all areas, including training engineering. The ability of generative AI to generate new ideas promotes the emergence of new services and products, changes working methods and makes it possible to explore new areas of development.

The emergence of new artificial intelligence jobs

The catalog of training with generative AI is enriched with new jobs linked to these new technologies, offering the company and employees the means to better master this cutting-edge environment and to take advantage of it. Among these new AI design and engineering jobs, we find engineers in prompt (responsible for designing precise queries to optimize the results of generative AI tools), generative design specialists (who create innovative design concepts, product interfaces and original visuals...), developers of custom generative AI solutions (to meet the specific needs of businesses in terms of management, creativity and generative AI training)..

A necessary increase in the skills of training managers

Training management with generative AI implies an increase in the skills of training managers within companies. They must be able to use generative AI tools with agility to carry out their missions, with the creation of personalized training courses, tailor-made content and the monitoring of courses. They must be a force for innovation for the achievement of employees and the success of the company. Tasks made easier by generative AI training tools!
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