Our software solutions in the field of
Productivity
Our productivity solutions network machines and systems, analyze production data, optimize quality and processes and detect anomalies.
AI for your production
Intelligent machine data acquisition
For production companies that do not yet record, store and analyze their
machine data, we offer intelligent machine data acquisition from KURZ Digital.
This innovative software solution maximizes the
effectiveness and production stability of machines through artificial intelligence and creates a decisive competitive advantage.
This is where our solution is used:
Evaluate machine data in a targeted manner
Process data analysis
For companies that already collect data on their manufacturing processes but do not analyze them, we offer the service of process data analysis.
This is where our solution is used:
Understanding artificial intelligence
AI training for manufacturing companies
In our AI training program, we provide your employees with a sound and practical
understanding of artificial intelligence. This gives you a solid foundation for the
targeted use of AI in your company and allows you to prepare for its subsequent
introduction in a structured manner.
The continuing education program in
artificial intelligence is flexible: it can be completed as a compact AI training course
or as a combination of training and workshops. In this workshop, we identify and specify
suitable use cases and develop initial practical approaches for implementation.
Training content:
- Fundamentals of AI and relevant tools
- Generative AI vs. classical AI: differences and areas of application
- Practical block: Prompting guidelines and live application to typical tasks
-
Identification and prioritization of suitable use cases in production (including next
steps)
Your advantages at a glance:
- Uniform level of knowledge within the team
- Specific starting points for optimizing processes
- Awareness of opportunities, risks, and responsible use of AI
- Faster entry into AI projects and quicker implementation of initial use cases
- Greater acceptance within the team through increased understanding and clear guidelines
- Better decisions through reliable classification of AI results
- Fewer bad investments thanks to realistic assessment of feasibility, benefits, and costs
