Download the paper for free 👉 bit.ly/4bk23Hk
🔨Migrating biopharmaceutical manufacturing to a digitally advanced environment is a high priority to become more effective. Standards and best practices are emerging, but few organizations effectively leverage these tools.
📈A better approach to data management is needed to upgrade biotech and pharma operations to the conceptual standards of Pharma 4.0.
This paper is a critical first step toward better data management and establishing a standard ontology for biomanufacturing.
Already reducing the duration of the calibration workflow from 4 hours to 30 minutes, this paper defines the critical concepts for describing and capturing a manufacturing process independent of the systems and equipment used.
🎓In this webinar you will learn:
- Some of the big data challenges in biopharma
- How the use of ontologies helps give context to big data sets
- The results of a proof of concept in practice using this paper
- Ideas about future next steps that could help biopharma
🗣️Our speakers:
- Derrick Tapscott, Lead Technical Strategy Development Life Science, @RockwellautomationInc
- John Hatzis, Industry Tech Consultant for Life Science, @RockwellautomationInc
- Paolo Avalle, Principal Scientist, @Merck
Chapters:
0:00 Webinar introduction
1:46 Introducing BioPhorum
2:43 Biopharma big data challenges and how ontologies help
13:25 Details of the proof of concept and its results
25:38 How can this benefit biopharma?
40:08 Q&A and close
#bigdata #biopharma #biopharmaceutics #BioPhorum #merck #informationtechnology #techstrategy #biotechnology #biotech #biomanufacturing
Негізгі бет Overcoming big data challenges in biomanufacturing using ontology and digital data capture
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