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Given the right data, machines are going to outperform humans at many tasks.
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Machines are not making progress on novel situations.
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If our youth learn to be creative and work on solving unique problems they will cope well in the evolving world.
Whatever you decide to do, let every day bring you a new challenge.
If we do this we will stay ahead of the machines.
Given the right data, machines are going to outperform humans at many tasks.
A teacher might read 10,000 essays over a 40-year career. An ophthalmologist might see 50,000 eyes.
A machine can read millions of essays or see millions of eyes within minutes.
So what does this mean for the future of work?
JOBS DONE BY MACHINES:
The future of any job lies in the answer to the question:
Is that job reducible to repetitive, high-volume tasks?
On frequent, high-volume tasks, machines are getting smarter and smarter.
For example, today they grade essays as well as a teacher. They diagnose certain diseases. Soon, they will conduct our audits, and read boilerplates from legal contracts.
Accountants and lawyers will be needed. But they will handle the novel situations. They will do the complex and path-breaking tasks.
Machines will make these jobs more difficult to come by.
JOBS DONE BY HUMANS:
Machines are not making progress on novel situations.
The copy behind a marketing campaign needs to grab consumers’ attention. It has to stand out from the crowd.
Business strategy means finding gaps in the market, things that nobody else is doing.
Humans are creating the copy behind our marketing campaigns.
Humans, are and will, be developing our business strategy.
THE FUTURE OF WORK:
So what does this mean for the future of work?
* Frequent, high-volume tasks will be done by machines.
* Humans will tackle the novel situations.
The above information about machine learning was presented in a recent February 2016 TED Talk. It was presented by Australian, Anthony Goldbloom who is the co-founder and CEO of Kaggle. Kaggle hosts machine learning competitions. Their data scientists download data and upload solutions to difficult problems.
You can watch his short 4 min 36 sec talk below.