"Artificial intelligence" is one of the most discussed topics in public today. Events such as the evaluation of voter data by Cambridge Analytica for the US presiden-tial election in 2016 or the generation of a conversation with the new generation of Google Assistants, which many participants regard as humane, do fuel fears and en-thusiasm for the new technology.
Software and infrastructure projects are subject to fundamental change. The trend today is towards small, agile teams that work independently of each other and often spatially separated from each other. They develop completed subprograms that communicate with each other via coordinated interfaces and thus form an overall system. The agile approach brings with it fundamental advantages that are particularly useful in complex projects.
Agile methods are established as a standard for the implementation of software development projects across all industries. The motivation of those involved in the project - and their willingness to take responsibility - is an essential factor for the success of agile procedures. Agile project management - be it Scrum, DSDM, Kanban or others - systematically integrates the prompt feedback of users and thus creates high transparency in progress. The orientation towards achievable objectives, the quick feedback of success as well as the possibilities of co-design directly promote motivation and willingness on the part of the participants to take personal responsibility.