By Gregory Piatetsky, KDnuggets.

When will most expert-level Predictive Analytics/Data Science tasks - currently done by human Data Scientists - be automated: [255 voters]

Now (it already happened) (13) 5.1% in 1-2 years (10) 3.9% in 2-5 years (35) 14% in 5-10 years (72) 28% in 10-20 years (42) 16% in 20-50 years (20) 7.8% it will take more than 50 years (16) 6.3% never (48) 18.8%

US/Canada, 43%

Europe, 28%

Asia, 16%

Africa/Mideast, 4.7%

Latin America, 4.7%

AU/NZ, 3.1%

Data Scientist has been called the sexiest job of the 21st century. But perhaps the century will last only 25 years.With even knowledge-based jobs like lawyers and accountants being automated , will Data Scientists prove to be an exception?What predictive analytics professionals predict about the future of their profession?Latest KDnuggets Poll asked:- see results below. At the same time about a quarter expect this to happen in over 50 years or never.The regional breakdown wasPlotting the results for the top 3 regions, we see only minor regional differences. Asians believe the most in automation, with 60% saying it will happen in 10 years or less and only 17% saying in 50 years or never.What do you think?, "expert-level" defined by pollSince we are unclear on what is meant by expert level, we can use the results of this poll to define it - whatever the winning outcome is, say 5-10 years, we then define "expert level" talents as those things which will be automated in 5-10 years., expert level analysisThe answer to the question depends on the definition of "expert-level analysis". More and more subtasks have been made available for automatic processing. However, the expert-level is exactly above. Hence, expert-level analysis becomes more and more demanding until it covers all science and philosophy. At this ultimate point, I doubt robots or other machines can operate without any expert-level above. But. I admit, this is then mere guessing., Automating Data ScienceIt's fair to say that some data science tasks are automated today and some will never be automated. The key words, of course, are "expert level"Gregory Piatetsky: let's call "expert-level analysis" what is done now by PhD-level Data Scientists (some of whom don't have a PhD). I think the results of the poll still stand.