PREDICTING YIELD AND DETECTING ANOMALIES WITH MACHINE LEARNING
Our customer, a global pharmaceutical manufacturer, is looking to reduce costs and increase efficiency.
The customer has been systematically collecting extensive amounts of data for the past 10 years and are now interested in turning the massive datasets into actionable insights.
Specifically, our customer wanted to understand:
•How to optimize the bioreactor process to reach higher yield
•How to identify prespecified anomalies in the 50 day process
•How can they make monitoring of large amount of process parameters easier