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Combining AI and Knowledge Graphs in the fight against Covid-19

A session hosted by Julian Everett
CTO, Data Language

Speaker expertise

Highly experienced programmer, architect and technical strategist, interested in ontology development, linguistics, complex systems and risk management. Cambridge University natural sciences graduate.


A case study in the use of knowledge graph technologies at Cochrane in enabling their rapid response delivery to the Covid-19 pandemic. Take home: an understanding of how machine learning and knowledge graphs can compliment each other really well (in an open service-based architecture) and mitigate the risks of black-box AI solutions


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