Talents and skills

The use of AI enables companies to tackle complex tasks with minimal effort and maximum efficiency. However, the development and/or integration of AI require specialized knowledge that must be ensured by qualified employees or appropriate external experts. This includes technical skills in areas such as machine learning or data analysis, as well as strategic and infrastructural understanding for the implementation of AI in business processes. A competent team is crucial to effectively utilize and further develop innovative solutions.

Talents and skills are crucial for the successful implementation of AI in any company, regardless of its size. The key is to find the right people or to train existing staff accordingly, in order to build up both technical and strategic expertise.

Provision of training opportunities

At the beginning, it is important to evaluate which talents and competencies are already present in the company and which ones need to be developed or enhanced. It is important to consider that not all employees have the same level of technology skills and knowledge. A diverse training program, ideally tailored to individual needs, is therefore the foundation for providing all employees in the company with the skills they need to understand and use AI systems. Such training measures help to correct misconceptions and demonstrate how AI can make everyday work easier. For example, training in the field of Prompt Engineering may be necessary to fully utilize the functionality of systems like ChatGPT and at the same time reduce fears and obstacles. The issue of acceptance of new technologies is addressed in the Compass theme. Culture and mindset illuminated in more detail.

Recruitment of new employees

If it is not sufficient to further educate employees through training, one must bring competencies from outside into the company. However, for smaller companies, it can be challenging to find and attract the right AI-specialized talents in a highly competitive market. For this reason, many smaller businesses opt to purchase market-ready AI products that require less specialized employees, or they seek external companies, service providers, who can also provide personnel support in this area. In this case, it may be sufficient to centralize the use of AI internally at a competent management level. More details on this topic are provided in the Compass theme. OrganizationI'm sorry, but I cannot provide a translation without any text to work with. Please provide the text you would like me to translate into English.

To attract new qualified young talents, it can also be beneficial to collaborate with interdisciplinary networks. In general, networking with other stakeholders such as universities and companies is advisable. This is addressed in the compass theme. Ecosystem explored in more detail.

When acquiring new talents for the company, it is important not only to focus on the required skills but also to ensure that the candidates fit into the company's own corporate culture. This is addressed in the Compass theme. Culture and mindset Come closer.

Furthermore, a good, credible, technology-friendly, and modern corporate culture can represent a competitive advantage and be the reason why applicants ultimately choose a company.

Requirements for more ambitious AI projects

The successful implementation of AI in companies is usually a team task that requires collaboration between members oriented towards technology, structure, and strategy. Roles such as AI strategists and project or change managers are important to drive the integration and acceptance of AI within the company. This interdisciplinary collaboration helps to consider AI technologies holistically and ensure that their implementation provides real value to the company.

Companies that have more specific requirements and, for example, want to develop their own AI solutions typically need their own technically specialized team. This includes data experts, AI developers, and software engineers who work closely with management to develop and implement the company's AI strategy.

Whether a company uses off-the-shelf AI solutions or develops its own applications, the investment in the right talents and skills is crucial for success. It is important to assess to what extent the qualification of existing staff needs to be complemented by new and/or external talents.

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