Veranstaltungen & Messen - vdma.eu
Training: Efficient handling of requirements in the world of AI
In this training course from the Mittelstand-Digital Zentrum Augsburg, you will learn how to successfully elicit and document requirements in AI-based projects - both for internal processes and when dealing with external partners. The aim of the event is to provide you with practice-oriented principles and techniques that you can use to formulate requirements in such a way that they make optimum use of the possibilities of artificial intelligence.
- fortiss GmbH
- An-Institut der Technischen Universität
- Guerickestr. 25
- 80805 München
- GERMANY
- German
In this training course from the Mittelstand-Digital Zentrum Augsburg, you will learn how to successfully elicit and document requirements in AI-based projects - both for internal processes and when dealing with external partners. The aim of the event is to provide you with practice-oriented principles and techniques that you can use to formulate requirements in such a way that they make optimum use of the possibilities of artificial intelligence.
Due to the rapid advancement of artificial intelligence (AI) and its integration into business processes, value chains are becoming increasingly data-driven and complex. Companies are faced with the challenge of not only accurately identifying requirements, but also responding to them flexibly and efficiently – especially in a world where AI systems play a central role.
This requires new approaches and methods to optimize collaboration between people, technology, and data. The key to success in the world of AI lies in modern requirements engineering (RE). This forms the basis not only for developing effective software architectures, but also for designing AI systems that bring real added value to companies. At the same time, AI-specific requirements such as transparency, fairness, security, and traceability must be taken into account.
Contents
- Fundamentals of modern requirements engineering (RE): What is RE and how is its role changing in an AI-driven working world?
- Specific requirements for AI projects: How do you ensure that requirements cover transparency, fairness, and ethical principles?
- Challenges and problems in requirements management: Practical insights and reflection
- Techniques for effective prompting in an AI environment: How do you teach AI systems to better understand requirements?
- Methods of structured documentation: Tools and techniques for sustainable, traceable communication
- Excursus: Quality assurance in the requirements context of AI projects – how do you ensure that your AI solutions are stable and successful in the long term?
- Future topics in requirements management: How are RE methods evolving to meet the new requirements of AI applications?
Benefits for participants
- You will learn a clear, structured approach to requirements to ensure long-term success.
- You will gain specific insights into how requirements management in the AI world forms a strong basis for innovation, efficiency, and sustainability.
Target audience
The training is aimed at employees of small and medium-sized companies who are interested in requirements engineering.
Prior knowledge
No special prior knowledge is required, but your company should have some experience with software product development (either in-house development or outsourcing).
Register now for free!
