Next event
The second Greenformance TechTalk combines a live demo with a concise technical discussion.
Physics-Guided AI Agents: From Machine Data to Actionable Recommendations
- Date
- Time
- – (CEST)
- Format
- Online
- Speaker
- DI Dr. Martin Paczona
In the second Greenformance TechTalk, we use our 3D printer in the Greenformance Lab to show how machine data, physics-informed assessment and a process twin create a reliable basis for an AI agent. The AI agent assesses relevant deviations and provides recommendations; validity and uncertainty remain visible, while the final decision stays with the human expert.
Specialists and managers in production, maintenance, energy, automation, OT/IT and Industrial AI.
- Why an anomaly alone is not sufficient grounds for action
- How physics-informed data preparation and hybrid models connect AI agents to technical reality
- How AI hallucinations can be addressed in industrial applications
- Which parts of the approach can be transferred to other machine classes, such as CNC machines
- 13:30–13:40
- Live 3D-printer demo with livestream
- 13:40–13:50
- Theory behind the AI agent and process twin
- 13:50–14:00
- Discussion and deeper exploration
You will receive the access link after registering.
Register for the TechTalk
Register directly with Greenformance for this online event.
Outlook
Further events will be published here.
Past events
A look back at previous Greenformance events and TechTalks.
How do you create a trusted data basis for people and AI?
Using an excerpt from the AI4I 2020 Predictive Maintenance Dataset, Dr. Martin Paczona showed how the quality of industrial data influences decisions made by people and AI.