06_Teamcenter Classification with AI - PLM Nordic

Siemens has integrated AI and machine learning into Teamcenter’s classification module.
- Network between Teamcenter and classification data - An AI engine uses object classification in Teamcenter to create a neural network of classification knowledge.
- Prediction Accuracy - More components are classified; the neural network is gradually changed to improve prediction accuracy.
- Functional with Geolus Shape Search - The AI engine may integrate with Siemens’ Geolus shape search solution (optional; available if the ecosystem allows); for more accurate classification, a Closed Loop Weighted algorithm (patent pending) integrates meta-data and shape recommendations.
- Auto-classification - Auto-classification has built-in review processes that allow subject matter experts to confirm or modify classifications, and users can run them as background jobs.
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