Employee skills development is now a central component of sustainable corporate strategies. Many organisations recognise that the targeted promotion of skills and knowledge not only increases the performance of individual employees, but also strengthens the overall team dynamic and innovative power. In the context of artificial intelligence (AI) in particular, there are new opportunities to make this process more efficient and personalised. In this article, you will learn how AI can be used specifically to develop employee skills and which methods have proven successful in practice.
Employee skills development with AI: new ways of supporting learning
AI systems can recognise individual learning needs and suggest suitable measures. For example, they analyse work behaviour, feedback and performance data in order to derive targeted recommendations for training or coaching. This means that employee skills development is no longer generalised, but holistic and personalised.
A practical example: AI is used in a medium-sized company to track employees' progress in project work. The software recognises where learning gaps exist and suggests targeted online courses or workshops. This makes employee skills development continuous and transparent.
AI is also being used in the healthcare sector to provide targeted training for care professionals. The systems analyse daily work processes and recommend specific training courses that are tailored to the individual challenges of employees.
Practical methods for employee skills development
The combination of traditional and digital methods is particularly effective. Here are some tried and tested approaches:
- On-the-job training: Employees learn directly on the job and apply what they have learnt immediately.
- Project work: Challenging projects promote professional and social skills.
- Feedback culture: Regular exchange helps to recognise strengths and areas for development.
In the automotive industry, for example, teams are put together in interdisciplinary projects to develop new technologies. In this way, employees not only acquire technical expertise, but also teamwork and communication skills.
In the retail sector, employees are sent to different departments through job rotation. This allows them to continuously expand their knowledge and skills.
In the IT industry, regular feedback meetings are held to review employees' progress and discover new development potential.
Employee skills development through AI-supported learning platforms
AI-supported learning platforms offer a variety of formats such as videos, interactive exercises and webinars. Employees can learn flexibly and independently, regardless of time and place. This method is particularly cost-efficient when training large groups of employees.
An example from the financial sector: a bank uses an AI-supported platform to train its employees in compliance and risk management. The platform analyses the learning progress and adapts the content individually.
In the logistics sector, AI-supported simulations are used to prepare employees for new processes. The systems recognise where additional training is required and suggest targeted measures.
AI-supported learning platforms are used in the healthcare sector to provide further training for care and management professionals. The platforms offer customised learning paths and support employees in putting what they have learnt into practice.
Best practices from the field
BEST PRACTICE with one customer (name hidden due to NDA contract) and then the example with at least 50 words.
A medium-sized company in the mechanical engineering sector used AI-supported learning platforms to promote employee skills development. The platform analysed learning progress and suggested targeted measures. This enabled employees to continuously expand their technical and social skills. The feedback culture was strengthened and the company's innovative strength increased significantly.
My analysis
Employee skills development is a continuous process that can be made more efficient and personalised through the use of AI. The combination of traditional and digital methods offers a wide range of opportunities to promote employees' skills and knowledge. Practical approaches such as on-the-job training, project work and a feedback culture are particularly effective. AI-supported learning platforms enable flexible and personalised learning paths. Best practices from the field show that employee skills development can be strengthened through the use of AI and has a positive impact on team dynamics and innovative strength.
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