AI in manufacturing
Seminar on AI in Manufacturing
The seminar ‘AI in Production’ provides a practical and holistic understanding of artificial intelligence and its potential applications in industrial production. The focus is on positioning AI as a key component of digital transformation and its targeted use to enhance efficiency, quality and competitiveness.
Participants will learn how AI is based on data, what technological foundations are required, and how modern AI applications can be integrated into production processes in practice. At the same time, the opportunities and risks – both technological and societal – are examined to enable participants to make informed decisions.
The seminar combines strategic aspects with practical case studies and demonstrates how companies can make effective use of AI and ensure their investments are sustainable – whilst balancing innovation, economic viability and responsibility.
AI in Manufacturing
This seminar covers the fundamentals, applications and strategic approaches for the successful use of artificial intelligence in manufacturing.
1. Fundamentals of Artificial Intelligence
- Introduction to the concept and significance of AI
- Distinguishing between opinion, knowledge and competence
- Defining the roles of humans and AI in an industrial context
2. Types and Technologies of AI
- Distinction between weak and strong AI
- Cloud-based AI solutions and their potential applications
- Fundamental technological concepts and systems
3. Data as the Foundation of AI
- The importance of data for the deployment of AI
- Data management and data quality
- Insight into complementary technologies such as blockchain
4. AI in a Societal Context
- Assessing AI as both an opportunity and a risk
- Impacts on society, the world of work and businesses
- Reflection on responsible use
5. Opportunities and risks of AI in manufacturing
- Potential for increased efficiency and improved quality
- Automation and intelligent decision support
- Risks such as dependencies, incorrect decisions or safety considerations
6. Current fields of application (2025/26)
- Overview of specific applications of AI in manufacturing
- Practical examples of modern AI applications
- Assessment of current developments and challenges
7. AI Tools and Applications
- Possible applications of AI in various areas:
- Text, images, audio and video
- Presentations and translations
- Documentation and record-keeping
- Overview of free and paid AI services
8. Investment decisions within the company
- Comparison of investments in machinery versus digitalisation/AI
- Assessment of the opportunities and risks of both approaches
- Strategic decision-making frameworks for companies
9. The future and vision of AI
- Development prospects for AI in production
- Long-term impacts on business models and value creation
- Integration of AI into existing systems and processes
10. Methodology and learning format
- Interactive seminars and workshops in small groups (9–12 participants)
- Practical content with direct relevance to industry
- Supplementary coaching services to support sustainable implementation