Torque
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April 16, 2018, 12:43:47 AM
Last edit: April 16, 2018, 02:11:07 AM by Torque
Merited by Karartma1 (1)

The answer is to skill up in skills needed by the automation software industry.  If you cant beat them, join them.  

But what happens when AI starts writing the software on their own, and better than a human could?

I’m not really talking about coding. Coding is only 5% of the available work. You need people to find use cases and deploy the software (which takes a long time). You need sales. You need support. You need people who can navigate the SEC rules on ICOs.  You need Infosec. You need all the infrastructure that goes around an ordinary company whether it is making widgets or building AI.  Devs are only one small piece (important for sure but a great business can survive with shitty tech but a shitty business with great tech won’t).

Software is eating the world but only one bite at a time and it takes awhile to digest.

You know what else you need? You need real world problems to solve, real world use cases, and real ROI on those use cases to make all of it worthwhile.

Notice how the Blockchain industry has already conveniently skipped over that ROI part and gone straight forward with the hype and marketing bullshit? Seen any real believable ROI analysis on that yet? Of course you haven't. I haven't either. That's all by design. There's money to be made by marketing and selling bleeding-edge futuristic hype solutions looking for problems that don't really exist.

They (IBM et al) did the same thing with "Business Analytics". Every company that bought into it has pretty much lost money on BA pilots and implementations.

Same with AI deployments. IBM Watson has been the biggest money loser for corporations that have drunk the IBM koolaid and spent millions on their software and their 'consultancy' experts.

The only winners are the consultancy bodies like IBM that market and sell the snake oil dream to ill-informed and unsuspecting corporations with deep pockets.