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What might be a good indicator: is "data science" taught in major universities?
UC Berkeley has an undergraduate data science major. The choices and bureaucracy of creating new majors is also prone to hype though, so it might not be the best indicator.
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It’s an epistemology / ontology question, as folks familiar with the humanities would spot in little time. Aka it’s not “data” until something empowers the created metric a meaning. The map is not the territory. https://www.amazon.com/Raw-Data-Oxymoron-Infrastructures/dp/...
I know what all those words mean, I've studied critical theory, and I have no idea what your point is.
There's a lot of hype in software. Just like you were hearing about Blockchain startups only when Bitcoin started trading at 5 bazillion USD and now you don't hear nearly as much about it. During 2008-2015ish we went through an insane churn of new JavaScript frameworks and NoSQL database hype. Yeah it seems to have calmed, but I don't think data science was just hype because it comes from (and somewhat is) probabilit…
That hype in software is the reason I wrote a media literacy guide for software engineers. Hype makes it easy to get free marketing and also drives clicks for media and social networks. https://github.com/nemild/hack-the-media/blob/master/softwar...
"AI" (or whatever rebranding it gets) always works in cycles, with a phase of excitement and overpromising followed by a phase of apparent underdelivering and skepticism. But what actually happens is that the innovations just become part of the normal tooling, and stop being called "AI". At some point there is no need to hire a "data scientist", as any python programmer is already expected to know how to use numpy, p…
There's a lot of hype in software. Just like you were hearing about Blockchain startups only when Bitcoin started trading at 5 bazillion USD and now you don't hear nearly as much about it. During 2008-2015ish we went through an insane churn of new JavaScript frameworks and NoSQL database hype. Yeah it seems to have calmed, but I don't think data science was just hype because it comes from (and somewhat is) probabilit…
Not just VCs. It's a whole mafia gang consisting of tech reporters and founders also. They all have their vested interests - reporters want new stories and founders want funding and growth.
Slack, VR, AR - they all went through this cycle. Sometimes, it's a bit annoying.
> Since academia is typically a lagging indicator in adoption to new trends in the work place, it’s been long enough that it’s truly worrying for junior data scientists, all of who are hoping to find data science positions. It can be very hard for someone with a new degree in data science to find a data science position, given how many new people they’re competing with in the market.
http://veekaybee.github.io/2019/02/13/data-science-is-differ...
I work for one of the major bootcamps and I can tell you that interest has significantly declined over the past 1 year. The market for data science has indeed shrunk. The reason? I'm not sure, could be that it didn't live up to the hype.
Can I ask what city you work in? I'm going to school for CS and I see a lot of students trying to get into DS with little or no avail.