26. Chef-Erfa: AI
Please make a note of the date today. As soon as the agenda has been finalized and the invitation has been sent out, you can register for the event. If you would like to receive the agenda directly by e-mail and thus be informed via the registration function, please ask Ms. Struck to add you to the invitation mailing list.
- German
Please make a note of the date today. As soon as the agenda has been finalized and the invitation has been sent out, you can register for the event. If you would like to receive the agenda directly by e-mail and thus be informed via the registration function, please ask Ms. Struck to add you to the invitation mailing list.
Shutterstock
AI enables a significant increase in efficiency in manufacturing and production processes. By using machine learning algorithms and data-driven models, machine builders can shorten production times, detect errors and inefficiencies more quickly, which leads to better use of resources and optimize maintenance cycles (predictive maintenance),
2. Improve quality
AI can be used to automate quality inspections with automated inspection systems. This leads to fewer rejects and a lower error rate.
3. Competitive advantage
Companies that successfully use AI can gain a competitive advantage because they can:
- Respond more flexibly and quickly to market changes.
- Reduce costs and increase productivity at the same time
- Can offer higher quality and more individualized products that are precisely tailored to customer needs.
4. New business models
AI offers the opportunity to develop new, data-driven business models. For example, machine manufacturers can offer additional services that go beyond traditional business through predictive maintenance or service-on-demand offerings.
5. Adapting to the shortage of skilled workers
The use of AI can also be a solution to the skills shortage by automating repetitive or manual tasks so that skilled workers can focus on more complex tasks (source: ChatGPT: excerpt).
This Chef-Erfa is aimed exclusively at managing directors . We are always happy to welcome new participants.
Thu. 28.11.24
Welcome, getting to know each other/interactive round of introductions, questions of the day
Brief presentation of GAL Digital GmbH, Hungen
Artificial intelligence in companies - theory & practice
Current statistics on the use of AI in companies
Theory: Generative artificial intelligence
o What is AI and how does it work?
o What is prompt/context?
o Overview of current tools and AI models
o Data protection and data security
o How can AI be introduced?
Practical examples from Hessian companies:
o AI in customer service
o AI in incoming goods
o AI for reporting
o AI-supported corporate language
Live demo
o Daily helpers
o Assistance prompts for processes
o Knowledge management in the company
Workshop in small groups on issues of the day
All participants
Moderation:
Feedback, final reflection and conclusion
Documents and downloads:
