These new capabilities enable an organization to shift some of the mundane tasks normally handled by a DS to less technical analysts, such as data cleaning and, to some extent, feature selection. Delegating the less complex data to less technical teams allows data scientists to focus on advanced tasks like modeling, machine learning experimentation, and operationalization of deployment. This also has a residual benefit, of retaining this valuable DS talent longer in your organization, as it provides them more bandwidth to hone their core skills.