What to Do when the Robot Comes for Your Job

It's not a matter of "if" but "when."  An excellent article published in Mother Jones breaks it down and provides a timeline of the kinds of jobs that will be replaced between now and 2040.  The article examples many of the arguments that have been used to make the predictions less apocalyptic.

Mother Jones breaks them all down. It's apocalyptic, indeed, but at least with warning, you can develop a plan.

Link to podcast: https://screencast-o-matic.com/watch/cqeebb0qM1 (Links to an external site.)Links to an external site.

Drum, K., and; D, A. D. (2017). You Will Lose Your Job to a Robot. Mother Jones, 42(6), 38–69  Purpose of the article:  To address the questions about when and how AI-powered machines replace jobs, and to point out that the owners of the AI-powered machines and the businesses are the ones who will benefit most.
  Useful findings:  Machines powered by artificial intelligence will become better than humans in many different tasks. The article provides a useful timeline.
  Applicability of the article:
*Routine physical tasks will be the first to be replaced, which includes packing boxes, driving trucks, etc.
*Routine cognitive tasks will be next to be replaced (teller, phone sales)

*Non-routine cognitive will be the last to be  replaced. 
 Here is a chart with a timeline showing the robot take-over.  It's not "if" but "when."

 

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Big Data and Deep Learning: Industry Downturn Means Uptick in New Analytics

From the Midland Register Times / April 2...
 Permian Basin operators are drilling deep and long — laterals — in order to recover more of the region’s crude and natural gas.

They’re also going deep — as in deep learning — as part of those efforts.

High-tech advances such as big data, deep learning and artificial intelligence are increasingly finding their ways into upstream exploration and production operations. For example, Exxon Mobil Corp. recently set a record for high performance computing for reservoir simulation.

Big data
Technological advances have created a wide spectrum of data for operators that goes far beyond well logs, seismic surveys and pressure readings.

“(It’s) massive amounts of data generated by different methods,” said Susan Nash, director of education and professional development with the American Association of Petroleum Geologists.
 “It’s so massive it’s contained in the cloud and other ways of organizing the data.”

That data can come in structured form, as in databases, or in unstructured forms, as in emails or PDFs, anything that can be digitized, she said.

To continue, click the link: http://www.mrt.com/business/oil/article/Industry-drills-deep-to-improve-production-11039830.php