Why IT needs to lead the next phase of data science

Most companies today have invested in data science to some degree. In the majority of cases, data science projects have tended to spring up team by team inside an organization, resulting in a disjointed approach that isn’t scalable or cost-efficient. Think of how data science is typically introduced into a company today: Usually, a line-of-business organization thatContinue reading “Why IT needs to lead the next phase of data science”

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