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Zegami is a data visualisation platform designed to make data analysis accessible to everyone. The platform transforms data into actionable insight, using both structured and unstructured data, AI and human pattern recognition. It helps you to recognise patterns and discover insights to improve processes and strategies across your business. Zegami allows you to search, sort, filter, group and analyse large collections data simply and intuitively.
Founder and CSO
Stephen Taylor Founder and CSO of Zegami. Steve's mission is to disrupt the analysis of complex data. He wants to put powerful but easy to use analysis methods into the hands of everyone - not just computer experts - by using innovative visualisation and interaction technologies. As well as CSO at Zegami, he heads the Analysis, Visualisation and Informatics research group at Oxford working on understanding big data in genomics and health care.
AI for improved cancer detection
25% of cancers in the gullet are missed using standard endoscopy
By using machine learning to identify the cancers in real time by highlighting the cancer lesion when the clinician takes a video down the gullet, early screening can be improved