Machine Learning

react.js screenshot

I’m Taking Your Job!

By

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.

Will work for data

Rich Data, Poor Data: What the Data Rich Do – That the Data Poor and the Data Middle Class Do Not!

By

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.

Samsung VR App Store

It’s Not TV, It’s a TV App

By

How soon will TV transform from wall-mounted 4K flat-screens to a 99-cent app in a VR/AR App Store? That's a question few will ponder this week as the National Association of Broadcasters gathers in Las Vegas for the NAB Show 2016. TV has both defined and enlarged mass communication for more than a half-century. No one in their right mind would suggest that big-screen TVs might go away – ever! Well, no one ever said I was in my right mind.

Tay.ai

Is Microsoft’s Tay Chatbot Really “a Bad Naughty Robot?”

By

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.