Applications of Artificial Intelligence

In the field of AI, we are particularly concerned with applications, economic viability and acceptance, as well as the integration of AI algorithms in business and society.

Leveraging our close and trusting collaborations with companies across a wide range of industries and sizes, we are exploring the potential applications of AI both empirically and practically through the development of prototypical solutions.

We are currently focusing on applications in the areas of Industry 4.0, services, health, finance, HR, marketing and sales.

In each area, we aim to fundamentally expand the boundaries of knowledge and investigate the conditions and purposes under which AI should not be used. Ethical reasons may prohibit its use or conventional software may produce better results in certain areas.

The success of AI applications usually depends on the quality of the algorithms and database, and also on how these are embedded into an organization.

The collaboration between artificial intelligence and humans is a central topic here and will significantly change the working world of the future. This includes, for example, organizational learning, which will be sustainably changed by the use of AI.

The potential of such collaboration is enormous, as people and artificial intelligence can also complement each other.

Despite all the advancements in the field of AI, people who contribute their experiential knowledge are generally more creative than algorithms. Humans can use their gut feeling and intuition when making decisions.

AI algorithms, meanwhile, have other advantages. High computing capacities helps them to perform more accurate analyses, they don't get tired and they don't have good or bad days. They don't get caught in psychological traps, such as those described by Israeli American Nobel Prize winner Daniel Kahneman in his work »Thinking, Fast and Slow«.

Furthermore, algorithms do not pursue their own intentions. Therefore, the principal-agent problem, which is often discussed in organizational theory and may create detrimental behavior among employees, is no longer relevant.

In principle, humans and algorithms can therefore complement each other well through their respective advantages and disadvantages.