Multi-Sigma® AI Chain Analysis links design surrogates with process models across key steps of semiconductor development and fab. Where raw data cannot be shared, teams exchange models securely, enabling AI/ML-guided decisions that improve performance and yield, shorten cycles, and reduce environmental impact. This lecture shows how to connect design and manufacturing workflows, run cross-domain co-optimization, navigate multi-objective trade-offs, and apply contribution analysis to reveal leverage points. A short demo video will highlight practical deployment patterns.
