Does The Popularity of AutoML Mean the End of Data Scientist Era?
McKinsey Analytics wrote an article on the evolution of automated machine learning (AutoML) titled “Rethinking AI talent strategy as AutoML comes of Age.” McKinsey argues that the growing popularity of AutoML tools drives a radical new way of thinking about data science talent. By automating the data science process, AutoML platforms expand the reach of users to include business experts with extensive domain knowledge, non-data scientists, and operational experts. The key takeaway is that companies are best served by not putting all their resources into the fight for sparse technical data science talent but should instead focus at least part of their attention on building up their troop of AutoML practitioners, who will become a substantial proportion of the talent pool for the next decade. CIOs, data science, and analytics leaders will have to rethink their AI talent strategy fundamentally. The Covid-19 pandemic, budget cuts, and the pressure to do…
