Replacing Data Scientists With AutoML?

Excerpt from a current KDNuggets article, which links further to a poll that asks the questions of practitioners.  My answer is yes. AutoML will replace the current needs for data science analysis.  Within a decade.  Of course the needs are likely to expand as well, so there will always be research and new requirements emerging.  And interpretation for specific context needs.  Just as there are needs for statisticians and analytics specialists for the same purposes.

When Will AutoML (Automated Machine Learning) Replace Data Scientists (if ever)?

Soon after tech giants Google and Microsoft introduced their AutoML services to the world, the popularity and interest in these services skyrocketed. We first review AutoML, compare the platforms available, and then test them out against real data scientists to answer the question: will AutoML replace us?

Introduction of AutoML:
One cannot introduce AutoML without mentioning the machine learning project’s life cycle, which includes data cleaning, feature selection/engineering, model selection, parameter optimization, and finally, model validation. As advanced as technology has become, the traditional data science project still incorporates a lot of manual processes and remains time-consuming and repetitive. ... "