<br/>Increasingly large data sets are being produced at each stage of the biomanufacturing process lifecycle. With the appropriate models and analytical tools, this data has the potential to revolutionize our industry. In this talk we will discuss the implications of big data for modern day bioprocessing, with a focus on downstream applications. The present state of the industry will first be reviewed, highlighting the types of data sets currently generated as well as common modeling techniques employed. A vision of bioprocessing in the future is then presented along with steps required to realize this vision, such as intentional data set design, the implementation of data management systems, and training the workforce of the future. The concept of “semantalytics,” is adapted from computer science and introduced for biomanufacturing applications. This term encompasses the definition of a common “vocabulary” and represents a standardized approach to supplement raw data with human knowledge and experience with the potential to facilitate data interpretation and collaboration. Finally, biomanufacturing will be compared to other industries who are ahead of us to understand how we can learn from their successes and failures to effectively harness big data. Rather than provide answers, this talk is meant to initiate a conversation and catalyze discussions as we map out methods and best practices in this critical new technology area.<br/>

Big data driven biomanufacturing: Present state and future potential

2019 Spring National Meeting

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