IBM Watson: Six lessons from an early adopter on how to do machine learning

Image: IBM For firms, the idea of a computer turning every employee into an expert in their field is a tempting prospect. That dream of universal expertise is what IBM says its Watson question-answering, machine-learning system makes possible. Watson can be trained to answer questions on any subject you choose. The system uses natural language processing to read huge numbers of documents, extracts and organises information about a particular topic and then refines its understanding of that subject based on human feedback. But how useful are the answers given by Watson and how difficult is it to train? One person who’s well-placed to talk about using the Jeopardy!-winning system is Lynda Chin, director of the Institute for Health Transformation at the University of Texas System. For the past four years,…


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