Biopharmaceutical manufacturing processes represent a data rich environment. The ability to identify and evaluate weak signals and multivariate correlations on a broad scale and in near real time have been difficult historically. Traditional approaches to interrogating these data have been highly manual, product and facility specific, and reactive. This talk will discuss new approaches to harnessing these data at a portfolio level and using innovative methodologies to convert data to knowledge through exploratory analyses and feature engineering.

Unlocking the potential of big data in a biopharmaceutical manufacturing network

255th National Meeting (2018)

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