While pharmaceutical companies are working to implement machine learning and AI, integrating these technologies into process chemistry has been a challenge. In this presentation, Thorsten Gressling explains how Bayer’s data architecture supports its digital chemistry initiatives in process development. Topics covered include:
- Bringing together data from many systems, including ELNs and laboratory reactors
- Luminata’s visualization tools, specifically for process chemistry
- How Bayer is connecting pharmaceutical development data to machine learning tools