Dealing efficiently with requirements in the world of AI
With the rapid advancement of Artificial Intelligence (AI) and its integration into business processes, value chains are becoming increasingly data-driven and complex. Companies face the challenge of not only capturing requirements precisely, but also responding to them flexibly and efficiently—especially in a world where AI systems are playing central roles.
This calls for new ways of thinking and innovative methods to optimize collaboration between humans, technology, and data. The key to success in an AI-driven world lies in modern Requirements Engineering (RE). RE forms the foundation not only for developing effective software architectures, but also for designing AI systems that deliver real value to organizations. At the same time, it is essential to address AI-specific requirements such as transparency, fairness, safety, and traceability.
In this training, fortiss researcher Jannik Fischbach will show you how to successfully elicit and document requirements in AI-based projects—both for internal processes and when working with external partners. The goal of the course is to provide you with practical methods and foundational knowledge to formulate requirements in a way that fully leverages the potential of Artificial Intelligence.
Employees of small and medium-sized enterprises (SMEs) who are interested in Requirements Engineering.
No specific prior knowledge is required. However, your company should have some involvement in software product development—either through in-house development or external commissioning.