Some sentences detailed in the conference:
- Requirements to make science in Pharma under a big data point of view: Rigorous and Compliance
- The knowledge of real processes in Pharma have to consider the variability. The multiple factors involved in the variability only can be managed in the cloud (addressed to PAT and QbD)
- Big data and cloud computing offer the power of the aggregation and this is the first step to discover knowledge
- The pharma processes are complex and consist in the combination of CQA, CPP and the rest of variables that are not considered critical, but physically, are part of the reality. bigengine is able to normalize processes and extract knowledge from the aggregation that raise over the complexity.
The presentation can be downloaded from this link
