Pfizer: How knowledge graphs will transform and rescue drug discovery

Back last October at D4 USA, Peter Henstock, Machine Learning & AI Technical Lead at Pfizer, opened up day two with his keynote presentation on how and why knowledge graphs will transform drug discovery as we know it.

What Peter covers:

• Data-driven processes generally have the goal of finding key information and converting it into knowledge. With human’s initate cognitive limitations in managing large data sets, knowledge graphs can provide framework for finding, visualizing, extracting, and predicting relationships
• The key underlying technologies of knowledge graphs
• The machine learning paradigm and the five tribes of the technology