Re:Internet of Things, Machine Learning and Robotics Are Pri...
by lostcolony on Monday June 20, 2016 @08:50AM
(#11937610)
This seems to be an odd set of misleading statistics. Certainly, the callouts at the top are mostly bogus.
As an example, the callout at the top says "56.4% of DEVELOPERS are building robotics apps today." (emphasis mine)
But the actual statistic is "Robotics (56.4%), Arts, Entertainment and Recreation (56.3%), and Automotive (52.9%) are the three most popular industries DATA MINING APP DEVELOPERS are focusing on today" (emphasis mine).
These are not the same. At all. Of the remaining callouts, the second fits the data, the third is wrong ("27.4% of all developers are building apps in the cloud today" - no, 27.4% are -planning- to), and the fourth seems to be summarizing something that is not elaborated on anywhere else in the link; the only statistic for machine learning given doesn't even measure how many are being used for development projects (but rather measures, of machine learning projects, what areas are they in).
The bullets themselves leave a lot to be desired, too, and I wish I had access to the original report. They seem to jump between specific kinds of developers, all developers (though, per the tidbit on methodology, all developers here means 'developers actively creating new applications with the latest technologies', which begs clarification as well), and executives ('41% say that cognitive computing and artificial intelligence (AI) are very important to their digital strategies.' comes from speaking with 'senior executives at services firms').
If I am not directly involved with big data, and don't care what senior executives think (because I am unconvinced of their ability to determine what their current technological needs are, let alone their future ones), there is very little for me in this, and given the quality of the reporting I'm not sure I want to make decisions based on any of these numbers without seeing the underlying report (though I'm not sure what those decisions would be other than "this seems to be a good area to get into, or not", for my next job).
As an example, the callout at the top says "56.4% of DEVELOPERS are building robotics apps today." (emphasis mine)
But the actual statistic is "Robotics (56.4%), Arts, Entertainment and Recreation (56.3%), and Automotive (52.9%) are the three most popular industries DATA MINING APP DEVELOPERS are focusing on today" (emphasis mine).
These are not the same. At all. Of the remaining callouts, the second fits the data, the third is wrong ("27.4% of all developers are building apps in the cloud today" - no, 27.4% are -planning- to), and the fourth seems to be summarizing something that is not elaborated on anywhere else in the link; the only statistic for machine learning given doesn't even measure how many are being used for development projects (but rather measures, of machine learning projects, what areas are they in).
The bullets themselves leave a lot to be desired, too, and I wish I had access to the original report. They seem to jump between specific kinds of developers, all developers (though, per the tidbit on methodology, all developers here means 'developers actively creating new applications with the latest technologies', which begs clarification as well), and executives ('41% say that cognitive computing and artificial intelligence (AI) are very important to their digital strategies.' comes from speaking with 'senior executives at services firms').
If I am not directly involved with big data, and don't care what senior executives think (because I am unconvinced of their ability to determine what their current technological needs are, let alone their future ones), there is very little for me in this, and given the quality of the reporting I'm not sure I want to make decisions based on any of these numbers without seeing the underlying report (though I'm not sure what those decisions would be other than "this seems to be a good area to get into, or not", for my next job).