Can technology replace Data Scientists?
I think it can abstract them, and make them able to focus on more unique issues rather than inventing the wheel for each company and use case.
#clus @JimMcHugh I say no but it will shift roles to be more abstract it will power the analyst market and apps
Technology and other functions may replace the general need for data scientists.
Scientists suggests experimentation. Culturally, we're not at that stage of business yet WRT data.
@tcrawford I think we have to experiment, iterate on our analytics processes. We don't have a direct path yet, so there is a lot of analysis around analytics (so meta, I know)
Well there was a recent HBR article about the shortage of Data Scientists so supplementing vs replacing would help
We can certainly reduce the dependency on them which is a big barrier to adoption i.e. there are not enough of them and they are very expensive
well, scientists use a formal method to draw conclusions. Without data scientists, will the value gleaned be more shallow? Less rigorous?
What Jim was referring to is this article :) https://hbr.org/2015...
Y&N machines have always replaced humans - the question is what will humans be able to do that machines can't
Technology cannot replace data scientists but them better and faster
Courtney J. Anders
at @platfora we believe there is a human element to big data. Traditional tools don't allow data scientists to impact the business. We see a huge opportunity to scale the work of data scientists.
#clus @therealcojo here is a great interview with founder Ben Werther in 2013 great vision https://www.youtube....
Jim @ CWPBIZ
@dvellante Answer; humans will be able to "bluff based on intuition" where machines can't. That's my guess.
#clus @therealcojo Ben Werther vision from day one was to make analytics easy for common knowledge worker
Our customers tell us their secret sauce is in their Data and their Data Science (how they use their data) rather than in the technology they use.
Courtney J. Anders