Contrary Opinion | Automated Analytics & the Future of Data Science

Data Scientists Will Not Be Replaced by Automation

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GilPress
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Re: Amen!!
GilPress   10/3/2012 12:39:52 PM
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@Mr_BDMartin201 Great observations, I specifically like "humans still have a shelf life"...  To your question, I attended the first day of PAW Boston and in the sessions I attended there was no talk of automation. One presentation, however, by Lattice Engines, described how they improve sales reps' productivity by providing a tool that does some of the research and analysis work for them, e.g., delivering potential new leads or information about prospects. Which got me thinking that there are 2 aspects of "automation": One is when manual is completely replaced by software. Another is when the software tool augments what humans do and sometimes perform tasks that humans simply don't have the time to perform. 

BethSchultz
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Re: Amen!!
BethSchultz   10/3/2012 12:04:46 PM
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@Mr_BDMartin201 -- financial services is often ahead of the technology curve, I wonder why that's not the case here. Your thoughts?

 

As for PAW in Boston, I did not attend myself -- so can't help you there!

Mr_BDMartin201
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Re: Amen!!
Mr_BDMartin201   10/3/2012 10:20:24 AM
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Beth,

Thank you for responding to me.  I certainly hope so that we get greater amounts of automation!! I work on the process side and I do automation, but in Financial Services, there is still too little automation compared with tangible goods like chemicals and consumer goods.  Sometimes the pace of automation can be driven by the annual budget.  Great point that the data scientist's role will change also, not just the analytics.

I want to ask you or anyone on the post if they attended the Predictive Analytics World in Boston?  Did they see anything that addressed this analytics automation?  

 

BethSchultz
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Re: Amen!!
BethSchultz   10/3/2012 7:45:26 AM
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@Mr_BDMartin201, first off, thanks for jumping into the conversation here. I agree with you that analytics will continuously change, but to me that continuous change means increasing amounts of automation -- aimed at addressing the perpetual goals of optimization and greater agility. Who's to say that as the tools advance the role of data scientist doesn't change along with that, to the point, as Perlowitz suggests in the counterpoint piece, that they're focused on the "preparation, management, and integration of in situ data, and managing data provenance."

BethSchultz
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Re: Amen!!
BethSchultz   10/3/2012 7:41:26 AM
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@Mr_BDMartin201, first off, thanks for jumping into the conversation here. While I agree that analytics is ever changing, I believe as part of its evolution it becomes more and more automated. Who's to say, as Perlowitz suggests in the counterpoint piece, that as the analytics tools themselves advance the data scientists devolve to a role in which they're focused on the "preparation, management, and integration of in situ data, and managing data provenance?"

Mr_BDMartin201
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Amen!!
Mr_BDMartin201   10/2/2012 3:14:08 PM
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Data scientists will set up partial automation programs so that analytics can be output from their experiments and from collecting data on existing processes.  However, new analytics are coming out all the time, and I don't see this happening at a 100%.

So analytics, like humans, have a shelf life, and it will keep changing.

 

Data Diva
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Data Artists
Data Diva   9/30/2012 8:36:57 AM
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Here is a wonderful blog post and accompanying Ted talk video about "data artist" Jer Thorp.  His work is political in the sense that a certain ethos pervades his work, and I suppose it's possible to disagree with that ethos and the publications for which he writes.

But he inspires me because a mind like his couldn't be replicated by a computer in a million, billion, trillion years!

Joe Stanganelli
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Re: Judgement
Joe Stanganelli   9/30/2012 2:05:28 AM
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Re: "I think data scientists will not be replaced by automation in the same way that autopilots haven't replaced human pilots."

Well, let's see what happens with driverless cars.

Joe Stanganelli
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Re: Data, for me, has always been political
Joe Stanganelli   9/30/2012 2:04:00 AM
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Good points, magneticnorth, but I think it's a matter of the precision of the words and their definitions.  Data are apolitical; analytics are not.  Depending upon whom you ask, X may mean Y, or it may mean Z.

Joe Stanganelli
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Data in politicking
Joe Stanganelli   9/30/2012 2:01:40 AM
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Data may be apolitical, but politics is not "adatal."  There is certainly an ROI behind political decisions and political consequences; it's just a matter of what that ROI is.  The only real question is to what extent "political" data are measured.

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