Posted on 10/25/2017 6:19:43 AM PDT by 2ndDivisionVet
Robots may be coming for some jobs, but they will likely create new roles as well. Here are some spots humans are needed to fill and how to get them.
It has become common to joke about how robots are going to take our jobs, and rightfully so: Oxford University researchers estimate that 47% of all current US employment is at high risk to become automated over the next decade or so.
But there is positive news: Of the 1.8 million jobs AI will get rid of, the emerging field will create 2.3 million by 2020, according to a recent report from Gartner. And a recent Capgemini report found that 83% of companies using AI say the technology is already adding jobs.
A lot of that growth is coming from the technology itself.
"We'll continue to see job growth in anything AI-related for the next five to 10 years, which is one of the things that will mitigate the oft-publicized inevitable job loss due to AI-led automation," said Brandon Purcell, an analyst at Forrester.
Want to break into a career in the field? Here are the top six most in-demand AI jobs and their average salaries, according to data from job search site Indeed.....
(Excerpt) Read more at techrepublic.com ...
As a retired EE I find the concentration on advanced degrees pretty amusing. We used to joke that you could tell that a PhD had written software because it would inevitably be unnecessarily complex. I knew technicians with AS degrees who could write far better code than some with MSes. Colleges are always years behind the times. There is just too much reliance on looking at degrees rather than the person.
National Instruments has a front-end that supposedly can parse any data file and reformat for their data plotting/analysis app.
What does it do? Basically it requires that the file be ASCII text, and that the user tell it exactly how the data is formatted. Is there a header block or not? Is the data in columns or rows? What is the delimiter: comma, tab, space?
This is a very practical but hardly exciting solution to the data integration problem. It's basically the same method I use to manage test data. A method, by the way, which is almost instantly overturned as soon as I get a new file that is messed up in a unique and "interesting" way.
Does that mean that AI is racist/sexist/homophobic/etc? Or is that only because the programmers are?
My point wasn’t actually regarding AI... it was about jobs being taken away and replaced in other areas.
Which is why they will give it to an H1-B named Pradeep who has 12 years in each of these technologies at the age of 24, and pay him $60,000 / yr.
Because Smart BusinessTM.
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