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1
Introduction
2
Data collection challenges
3
Building a soft sensor
4
Crossvalidation
5
Deployment
6
Model Management
7
Questions
Description:
Explore data-driven process optimization techniques in this 30-minute conference talk by Jillian Augustine from Mondi. Learn about data collection challenges, soft sensor construction, cross-validation methods, deployment strategies, and model management. Gain insights into real-world applications of data science in industrial settings and discover how to overcome common obstacles in implementing data-driven solutions. Engage with the speaker during the Q&A session to deepen your understanding of process optimization techniques.

Data-Driven Process Optimisation at Mondi

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