"Data Science" was always a vague term, purposefully so. Useful mostly as a vendor / consultant battle-cry and hype term to "encourage" a number of new business domains to adopt digitization and automated information processing / decision support.
Various older information intensive fields (medicine, insurance, finance etc) knew the benefits and pitfals long ago. These examples show also the survival strategy for the generic "data scientist": specialization. The role of the human in the loop is to blow some context and relevance into an otherwise dead body of data. You can only do that if you really know your domain.
Various older information intensive fields (medicine, insurance, finance etc) knew the benefits and pitfals long ago. These examples show also the survival strategy for the generic "data scientist": specialization. The role of the human in the loop is to blow some context and relevance into an otherwise dead body of data. You can only do that if you really know your domain.