Predictive data models are only as useful as the data they incorporate.
Epidemiologists, journalists, citizen data scientists and anyone else working with COVID-19 data sets realize this truism. While artificial intelligence using deep learning is exciting, it appears that overcoming data integration and data sharing obstacles is the best way to maximize most COVID-19-related analytics efforts. Indeed, “data quantity, quality and availability” rivals “business and process challenges” as the greatest constraints on AI usage, according to over 1,000 surveyed for MIT Technology Review Insights’ The Global AI Agenda.
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