AI in manufacturing
Seminar on AI in Manufacturing
The seminar is offered exclusively in German.
The seminar ‘AI in Manufacturing’ provides a practical understanding of artificial intelligence and its potential applications in an industrial setting. The focus is on how companies can make targeted use of AI to boost productivity, quality and competitiveness, whilst not losing sight of the importance of experience, expertise and responsibility.
Participants will learn about the fundamentals of AI, the importance of high-quality data, and current and future applications in manufacturing. Both the opportunities and risks of AI will be examined to enable participants to make informed decisions for business practice.
AI in Manufacturing
This seminar highlights how artificial intelligence can support businesses and sets out the organisational, technical and strategic requirements that must be met in order to deploy AI in a cost-effective and responsible manner.
1. Fundamentals of Artificial Intelligence
- Introduction to the fundamentals and functioning of AI
- The difference between knowledge, opinion and competence
- The distinction between weak and strong AI
2. Data as the Foundation of AI
- The importance of data for AI applications
- Requirements for data quality and data availability
- The relationship between data management and AI success
3. Opportunities and Risks of AI
- Potential for improving efficiency and quality
- Risks and challenges during implementation
- Impact on businesses and society
4. AI Applications in Production
- Current applications in manufacturing and production
- Support for analysis, planning and optimisation
- Practical examples of modern AI applications
5. AI Tools and Areas of Application
- Use of AI for text, images, audio and video
- Support for translations and documentation
- Overview of free and paid AI solutions
6. AI and investment decisions
- Evaluating investments in machinery and digitalisation
- Opportunities and risks of different strategies
- Economic analysis of AI projects
7. The Future of Artificial Intelligence
- Development prospects in industry and manufacturing
- Impact on processes and business models
- The role of people and technology in the future world of work
8. Methodology and Learning Format
- Interactive seminars and workshops
- Practical examples from industry
- Coaching and implementation support for businesses