We just used a few overeducated millennials and some open-source code to get a bunch of cognitive nonrepetitive workers fired. Which sucks! Incredibly, we didn’t use AI or machine learning to do it, just imagination and some free stuff. The bad news is that unless these people learn to do higher-value cognitive nonrepetitive work, they are not going to be employable. And the really bad news is that even if they do learn to do higher-value cognitive nonrepetitive work, when we start using machine learning and AI tools to do their jobs, they will actually be unemployable.
Generally speaking, there are two kinds of companies in the world: data rich and data poor. The richest of the data rich (Google, Facebook, Amazon, Apple, etc.) are easy to name. But you don't need to be at the top of this list to use data to create value. You need to have the tools in place to turn information (data) into action -- that's what the data rich do that the data poor and the data middle class do not.
Because the velocity of data is increasing and will always increase, the need for data literacy is increasing and will always increase. This does not mean that to be successful executive you have to become a data scientist -- quite the contrary. It means that in order to be a successful executive, you need to understand how data is turned into action, be familiar with the methods of data science and data scientific research, and be able to think strategically about how to use data to create value for your business. All other things being equal, there is a significant difference between being literate and being fluent.
I don’t like to discuss religion or politics in polite company. It’s pointless. Both subjects provoke passionate lectures espousing personal worldviews, and minds are seldom, if ever, changed. But … after watching some of the speeches and debates, reading some tweets, and switching between the parade of pundits on CNN, Fox News and MSNBC, I've started to wonder what @tjeff (my hypothetical twitter handle for a reincarnated Thomas Jefferson) would have had to do to find the facts upon which to base his independent thinking.
Tay is a combination chatbot and AI system designed by Microsoft to "engage and entertain people where they connect with each other online through casual and playful conversation." It was specifically "targeted at 18 to 24 year olds in the U.S., the dominant users of mobile social chat services in the U.S." If the words "designed" and "targeted" are off-putting, then you're really not going to care for one of the system's recent, now infamous, tweets ... but, there is much, much more to learn from Microsoft's mistake.