There is a shortage of data scientists. In the United States, some estimates are that there are only enough qualified data scientists to fill 50% of the open data science jobs. This large gap is driven by the massive impact that data science is having on modern business and how a growing number of companies that adopt data science and artificial intelligence (AI) build significant competitive advantages in crowded markets.
In response to this gap, some companies have begun considering methods to apply “self-service data science” with the goal of finding ways to allow their existing teams to utilize the power of data science without requiring the mathematics training and expertise that a professional data scientist requires. Is self-service data science possible? This is not a crazy idea since many of the products that business professionals use today started out as high-touch applications.
Author: Sean Byrnes
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