Artificial intelligence in corporate training (AI) has in recent years assumed an increasingly important role within organizations and companies of all sizes.

Thanks to its ability to automate and simplify processes, both simple and complex ones, AI has become a fundamental element in the panorama of corporate innovation from which from now on it will no longer be possible to ignore.

Its strength lies in the characteristic of emulating human capabilities, exploiting systems and algorithms capable of performing functions and tasks that imitate nature and human reasoning.

“AI-driven personalization in training can improve conversion rates by up to 25%”

Artificial intelligence (AI) finds application in various sectors, from medicine to finance, from logistics to research…practically everything!

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What is Artificial Intelligence?

Artificial intelligence (AI) is a set of technologies and algorithms that allow machines to perceive, understand, act and learn similar to humans. In general, AI refers to the ability of a machine to display human capabilities such as reasoning, learning, planning and creativity, allowing the computer to process data, solve problems and achieve specific goals [1][2][3].

“Machine learning is a type of artificial intelligence where machines learn from data rather than initial programming, 85% of organizations are already using it”

When applying artificial intelligence to the field of corporate training, it focuses on using algorithms and machine learning models to improve the effectiveness and efficiency of training processes within organizations. In corporate training, AI can be used to personalize learning, provide automated feedback, analyze large amounts of data to identify learning patterns, and improve the planning and management of training courses.

The “Disruptive” Role of AI in Corporate Training

Through the application of artificial intelligence (AI) in the context of corporate training, it is therefore possible to accurately identify any deficits and gaps that may arise, especially during the induction phases in the company.

This technology support helps individuals both in the onboarding phase and in identifying areas of development needed to acquire skills and knowledge critical to taking on roles of responsibility over time.

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This type of approach makes it possible to promote the creation of personalized learning plans, which are effective in improving interest and reducing the learning curve, this applied to increase employees’ skills and create pathways to growth can become especially valuable.

These are just a few examples of the transformative impact AI can have in corporate training. Below we will see how its presence plays a crucial role in making learning processes more efficient, personalized and oriented toward individual success.

Artificial intelligence in corporate training, 54 percent of executives say it has increased productivity

Learning modalities offered by artificial intelligence in corporate training programs

Artificial intelligence thus offers, as mentioned earlier in the introduction, the opportunity to create tailored corporate training plans, increasing worker gratification and engagement and helping to achieve the best results in less time.

Specifically, AI is particularly effective in the assimilation of soft skills that require constant dedication, such as skills extension through knowledge of best case studies (internal best practices among colleagues), which can be proposed and learned in a more inductive and fruitful way.

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In fact, the AI is capable of creating the request for feedback, notifications at the most correct time and way, this is thanks to different delivery formats that can be quickly modeled and delivered by the AI, quickly developing training plans and creating the most timely questionnaires and feedback requests.

Among the main benefits of AI in corporate training, we can identify the following:

  1. Personalized education plans: With AI, personalized curricula can be created that support learning, raising the level of knowledge and supporting each individual’s natural inclinations.
  2. Smart learning: AI brings added value over traditional educational offerings by allowing resources to be repurposed in a way that catalogs them and breaks them down into subcategories for easy use. These subcategories may contain lists, summaries, and diagrams useful for facilitating the assimilation of crucial notions. In addition, AI promotes the adoption of micro-learning, which is ideal for side activities.
  3. Assessment: With AI, individualized assessment paths can be set up, geared toward highlighting each individual’s strengths and helping him or her overcome uncertainties and critical issues in specific and recursive ways.
  4. Analysis: The data collected through the use of AI-based learning tools enable the development of tailored training plans, targeting the proposal based on actual needs and the data collected. This allows progress to be evaluated in an efficient and enriching way.

By integrating AI into corporate training, it is possible to optimize the learning process, tailoring it to individual needs and making the most of available resources.

CTA also read the ultimate guide to improving employee skills with Staff Training

The Benefits of Artificial Intelligence in Corporate Training

In the area of corporate training, the use of AI allows the potential of employees to be enhanced and brought out, enabling the development of horizontal and vertical skills through customized paths that respond to specific aspirations and needs. Here are additional benefits offered by AI:

  1. Use of natural language: Users can interact with AI using natural language, communicating and acquiring information in a simple way, while getting real-time feedback.
  2. Acceleration of skills: AI accelerates the learning process, making it more effective and faster. With AI, a wide range of training resources can be accessed and skills can be acquired quickly.
  3. Identification and creation of personalized content: AI can identify and present the most relevant content by extracting information searched from different platforms or social networks. AI-supported content creation makes it possible to process an ever-increasing number of documents and materials on a wide range of topics and fields.
  4. Virtual Labs: organizations have the ability to create customized readings and videos automatically, thus meeting the individual needs of employees. AI also enables simulations and virtual “labs,” through which companies can test new policies and strategies in real time, evaluating their effectiveness in an immediate and concrete way.
  5. Creating dynamic and interactive surveys, tests and verifications: With AI, surveys, tests and verifications can be created that are more dynamic and engaging for users. This makes the learning experience more interactive and stimulating.
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6. Adaptive training: by implementing advanced technologies, corporate training solutions can dynamically adapt to the needs of employees. Using intelligent algorithms, training materials can be customized to provide targeted and effective support. If an employee experiences difficulties in certain tasks or concepts, the training platform can identify these gaps and offer specific content to fill the gaps. This approach allows learning to be optimized, reducing frustrations and increasing the effectiveness of training. With these advanced technologies, the company can ensure adaptive and personalized learning, providing a highly effective training experience for employees.

AI makes it possible to implement new corporate training techniques that were previously unfeasible

7. Gamified Training: Integrating interactive elements derived from gaming into corporate training provides an engaging experience for employees, stimulating them to actively participate in the content and promoting better knowledge assimilation and increased productivity in the workplace. Gamification techniques in fact allow the employee to be totally immersed by lightening training sessions and transforming them into a useful stimulus for growth and play among colleagues. Read more about the article here “Gamification in corporate training: why it works.”

8. AI reskilling of employees: AI reskilling in corporate training programs is the use of artificial intelligence to enhance employee skills. It differs from normal training paths because it focuses on the new skills required by digital transformation to be integrated into those already acquired. AI then in this case analyzes skill gaps, creating customized training plans. The approach is more effective and personalized, as it directly targets the gap to be filled by adapting to individual performance. Employees focus on the specific skills needed, saving time. AI monitors learning over time, offering targeted feedback.

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9. Total engagement: several research studies have shown that integrating artificial intelligence into corporate training generates a significant increase in interest from employees, who might otherwise perceive traditional learning methods as boring or uninspiring. Through the use of innovative technologies such as data analytics or virtual reality simulations, employers can ensure that their employees are motivated to develop new skills and demonstrate higher engagement in the training process. This intelligent integration contributes to a more dynamic and exciting educational environment, fostering more fruitful and satisfying learning for all.

10. Data driven with structured and organic test and evidence counting systems: Artificial Iintelligence (AI) enables the development of more structured and organic test and evidence counting systems. This may include multiple-response value counting, dry-response paths or guided collaborative openings within training groups.

11. People analytics implementation: mincreased definition and precision in management Through data aggregation, AI in corporate training enables greater definition and precision in the management of people analytics. This means that a more detailed view of individuals’ performance and learning dynamics can be obtained, enabling more informed human resource management.

With AI, corporate training becomes more effective, efficient and personalized, enabling employees to develop the skills they need for professional success.

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The management of training paths from the department to the role of the tutor

Artificial intelligence certainly has the potential to manage the coordination of training roles and levels within an organization with greater insight and timeliness.

This means that it is possible to coordinate the training of a group of employees with their real (live) mentor, already providing them with the training deliverables and insights needed to thus accomplish the “last mile” of the training process .

In fact, Artificial Intelligence in training can even automate some of this work, relieving HR and talent managers from the more operational and massive tasks in large organizations, already transforming as mentioned this structural data into subsequent supporting corrective actions.

“According to a survey, 57 percent of consumers prefer chatbots, while 43 percent want to talk to a human.”

With AI, it becomes possible to create effective synergy between tutors and employees, optimizing training processes and ensuring efficient management of information flow. AI can play a supportive role in providing relevant suggestions and resources to mentors, enabling them to always be timely and relevant in the interventions they make and thus provide high-quality training even with particularly structured organizations.

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In fact, AI can automate some operational activities, such as organizing training sessions, assigning tasks and evaluating progress. This allows HR and talent managers to focus on more value-added tasks, such as designing strategic training programs and managing the development path of employees in its continuous improvement or differentiation skill development steps.

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What expectations to have from a training program using AI

The integration of artificial intelligence into corporate training programs offers many promises and expectations.

The hype regarding this issue however has been very noisy, it is important for this reason to take a realistic view and understand the true capabilities and limitations of AI in education.

In this section, we will explore both the correct and false expectations that can arise from a training program managed through artificial intelligence.

Correct expectations:

  1. Personalization: An AI-based training program can offer a higher level of personalization by tailoring content and activities to the specific needs of each individual. This allows for more effective and focused learning.
  2. Immediate feedback: With AI, immediate and detailed feedback can be obtained on participants’ performance, enabling them to identify strengths and areas for improvement in real time.
  3. Adaptability and modeling: AI allows training programs to be tailored to the needs and preferences of participants, enabling them to learn in ways that best suit their individual style.
  4. Data access: AI can analyze large amounts of data generated during the training process, enabling companies to gain valuable insights into program effectiveness and make targeted improvements in continuous improvement training processes.
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False expectations:

In this time of great hype we not infrequently find salvific or catastrophic projections regarding the topic of AI, so let us try to put a period to what should not be expected of artificial intelligence at present:

  1. Complete replacement of human instructors: Despite the potential of AI in training, it is important to understand that it cannot completely replace the role of human instructors. Human interaction and support remain critical to providing comprehensive learning and emotional support to participants.
  2. Magic solution for all training problems: AI can improve and optimize training programs, but it cannot solve all problems or automatically guarantee success. An integrated approach is needed that also includes other crucial factors such as motivation, personal commitment and learning environment.
  3. Total process automation: While offering advanced tools and functionality, AI is only one part of the entire training system. Other classical technological infrastructure and human intervention are still essential to the effective operation of a training program and in continuous improvement.

In conclusion, artificial intelligence can bring significant benefits to corporate training programs, but it is important to maintain realistic expectations and consider AI as an integrative component to a comprehensive digital transformation solution.

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How to create a training project with AI

The use of artificial intelligence (AI) within a corporate training project requires careful planning and a well-defined strategy. Effectively integrating AI into the training process can lead to significant results, improving the effectiveness and efficiency of learning. Listed below are some key points to consider when preparing a training project involving AI functions:

  1. Define objectives: Clearly identify the goals of the training project and determine how AI can help achieve them. For example, improving employee engagement, personalizing learning, or evaluating performance.
  2. Data collection and analysis: Identify what data are needed to support AI in the training process. These may include historical performance data, user preferences, instructor feedback, test results, etc. Ensure that you have the proper systems and tools in place to collect, store, and analyze data in a secure and privacy-compliant manner.
  3. Selection of tools and technologies: Evaluate the different options available for implementing AI in the training project. This could include the use of machine learning algorithms, pre-trained artificial intelligence models, data analysis tools, AI-based learning platforms, etc. Choose the technologies best suited to the specific needs of the project.
  4. Content creation: Consider how AI can be used to create or customize training content. For example, AI can be used to automatically generate readings, videos or quizzes based on users’ individual needs. Set guidelines for content creation, taking into account interaction with AI.
  5. User interface design: Create an intuitive and user-friendly user interface for users to interact with the AI during the training process. The interface should facilitate access to content, provide feedback, and allow users to monitor their progress even over a longer time frame to give an account of goals achieved in a continuous improvement logic.

AI, a new way to approach training programs

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6. Evaluation and feedback: Define how AI will be involved in the evaluation of user performance. For example, AI can provide personalized feedback and suggestions for improving skills. Also define how user feedback on the effectiveness of AI in the training process will be collected.

7. Monitoring and Adaptation: Implement an ongoing monitoring system to evaluate the effectiveness of AI in achieving training goals. Use the data collected to make any changes or improvements to the project.
Support and training: Make sure to provide adequate support and training to users involved in the AI-based training project. This includes training on AI functionality, guidance on using specific platforms or tools, and technical assistance to resolve any problems or difficulties encountered by users. Also explore the article “How to implement an effective corporate training program.”

8. Data management and privacy: Pay special attention to the management of data collected during the training project. Make sure to take appropriate security measures to protect users’ privacy and comply with applicable data protection regulations. Establish clear policies on retention, access and sharing of collected data.

9. Evaluation of effectiveness: Define metrics and key performance indicators (KPIs) to evaluate the effectiveness of the AI-based training project. Regularly monitor results and compare them with set goals. Use this data to make any improvements to the training system and optimize the use of AI.

10. Updates and adaptations: Keep in mind that AI is an evolving technology. Stay abreast of new innovations in the field of AI and consider making changes or updates to the training design to take full advantage of new features or technological improvements.

11. Evaluation of costs and ROI: Carefully evaluate the costs associated with implementing and using AI in the training project. Consider both up-front costs, such as the purchase of specific software or tools, and long-term operational and maintenance costs. Conduct a return on investment (ROI) assessment to determine whether the use of AI in corporate learning is beneficial and financially justified.

In conclusion, properly setting up a training project using artificial intelligence requires uncommon careful planning compared to traditional work, considering specific objectives, data management, user interface design, effectiveness evaluation and user support.

Therefore, in order to harness the potential of AI, it is critical to understand the extraordinary functions that can now be acquired but also to compare them with realistic expectations with respect to the organization’s capabilities in order to prevent the tool and the use of AI from undermining a company that is not yet prepared to handle it.

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The future of artificial intelligence in corporate training programs

The corporate training market is constantly evolving, influenced by new technologies, business needs and training trends. Taking into consideration various information sources, here is a list of the most relevant insights regarding the impact of artificial intelligence (AI) in corporate training programs:

  1. E-learning market growth: According to a report by Docebo, the global corporate e-learning training industry will reach a revenue of about $31 billion by the end of 2020 [1]. This shows significant growth in the sector, driven by new technologies and training trends.
  2. Social and collaborative tools: Social and collaborative tools, along with delivery on mobile devices, are considered among the top priorities in educational technologies. This indicates that collaboration and social interaction are becoming increasingly important in corporate training programs.
  3. Game-based learning: Global revenues for game-based training products reached $2.6 billion in 2016 and are expected to reach $7.3 billion by 2021. This highlights a growing interest in using game elements in corporate training to improve engagement and learning.
  4. Microlearning: Microlearning is a training approach that relies on short instructional units to promote more efficient and focused learning. This type of training, in small chunks, reduces the time spent in front of the screen and allows for more focused learning. Read more about the article here.
    “E-learning: how and why it revolutionizes the concept of corporate training.”

5. Adaptation of classical learning frameworks: There is a trend to move from an isolated event-based training approach to a continuous learning path throughout the employee’s life cycle. Learning is no longer seen as a single event, but as a continuous improvement process that is integrated with daily work.

6. Integrated Learning Experiences (Blending Experiences): As technology evolves, it is important to strike a balance between different training approaches (formal, social and experiential) to provide a complete learning experience [3]. The integration of different learning modalities helps employees develop knowledge and skills that can be applied in the work environment.

7. Training as a benefit and talent attraction tool: Corporate training can be used as an incentive for existing employees and as an element of attraction for new talent. Offering quality training programs can make all the difference in the competition to acquire the best human resources.

These trends and insights reflect the evolution of corporate training, with the introduction of new technologies and training approaches basically we should expect a complete reversal of activity weights that will evidently always increasingly benefit the management and planning areas by eliminating recursive operational activities almost entirely.

Do you want further insight? Read here the article in the Sun 24 Hours entitled.
“Artificial intelligence, the challenge of changes on work and society.”

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The Future of Artificial Intelligence in Corporate Training therefore is in full swing and highlights that, beyond the fears and data expressed for the current market, the impact of artificial intelligence on design for now is still very limited to the implementation part.

However, the advantages offered by the large computational capacity of artificial intelligence may be increasingly supportive for trainers and human resource managers , significantly increasing over time also their ability to design (and not only implement on the organizations they manage).

In conclusion, although AI in corporate training does not yet have a direct disruptive impact on the design part, its advantages in computational capability offer great support to trainers and human resource managers. The design then and the infrastructure become key elements in building added value to the entire project thus enabling AI to reach its full potential.

AI will make it possible to improve the efficiency and effectiveness of training programs by facilitating the identification of needed skills and the customization of training paths. While social interaction and human learning remain critical, AI can expand human capabilities and increase the impact of training providers on the organizations they manage. Learn more here about the PODCAST entitled. “The impact of artificial intelligence on Federico Frattini’s education.”

The future then of artificial intelligence is now already here, an opportunity to take advantage of to innovate your own training models for your organization and raise the bar for organizations to new horizons.

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It’s time to take action and enter digital transformation, take full advantage of technological resources that are never as easily accessible as they are today. You complete the digitization journey, now you can develop your digital transformation model safely, to improve your operational framework, and make your organization competitive again.

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