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Even the CEO's Job Is Susceptible To Automation, McKinsey Report Says (networkworld.com)
colinneagle sends word that according to a new report it's not just blue collar workers who need to be concerned about being replaced with a robot, top execs should be worried too. According to Network World: "Global management consultants McKinsey and Company said in a recent report that many of the tasks that a CEO performs could be taken over by machines. Those redundant tasks include 'analyzing reports and data to inform operational decisions; preparing staff assignments; and reviewing status reports,' the report says. This potential for automation in the executive suite is in contrast to 'lower-wage occupations such as home health aides, landscapers, and maintenance workers,' the report says. Those jobs aren't as suitable for automation, according to the report. The technology has not advanced enough."
Back in the late last century, I worked for a company that was just starting to look at Web apps on its intranet. They held a contest (mainly for fun) to nominate the best internal web site in the company (mine got honorable mention, but that's another story). One of the most voted sites was basically a mission/vision statement generator web page that would do what you have posted. Basically a copy of the old 'spew.exe' program with some HTML wrapped around it and the vocabulary database populated from a corpus of internal company memos.
The story goes: A few groups actually generated group mission statements based upon this guy's output and that fact was never noticed.
Have gnu, will travel.
My father has long worked in a variety of CEO and president roles for different large companies, on the very fields that this software is designed to optimize. My thoughts?
1) This is nothing new. It's called operations research/operations management, and it's been around for a long time.
2) Except for in perhaps small companies, CEOs don't do this themselves. They direct the team of experts that manage the system.
3) The systems don't run themselves. They require significant setup, maintenance, and ongoing improvement. In particular the ever-changing data streams that can play a role need to be worked into the model. And they're often based on very complex issues that require specialist understanding.
These are tools that help you make the right decision. They're not people. People are the ones who run the tools.
The yellowcake is a lie.