Pharmaceutical manufacturing’s digital transformation is constrained not by a lack of data, but by decision velocity: the speed, quality, and auditability of translating operational signals into compliant actions.
The pharmaceutical industry stands at the precipice of a revolution as emerging digital technologies provide new opportunities to boost productivity through continuous process improvements. The Pharma 4.0™ framework, an adaptation of the broader Industry 4.0 movement, aims to transform how drugs are produced and delivered.
We will show how continuous, real-time capturing of data with immediate data analysis by an ML algorithm can improve control over a critical quality attribute. The ML-analyzed data provides the evidence for validation of the change by demonstrating more control over the process along with a decrease in process risks.
