Data Science

Monochromatic Crowd

Digital Monoculturalism: Small Changes, Big Impact


I'm not really worried about rogue computers threatening our lives. I'm worried about the small number of programmers and coders charged with realizing the financial and political goals of their patrons. Could a ubiquitous social network skew or even direct an election? Could a traffic control system delay certain people from getting to work on time? Could an AI-enhanced financial services company deny loans or insurance due to zip code or race because it is the "best outcome" based on its programming? Could we train the AI that controls our news, communications and entertainment to restrict us to our comfort zones without even realizing what we've done?


Should You Fear AI?


Opining about the future of AI at the recent Brilliant Minds event at Symposium Stockholm, Google Executive Chairman Eric Schmidt rejected warnings from Elon Musk and Stephen Hawking about the dangers of AI, saying, "In the case of Stephen Hawking, although a brilliant man, he's not a computer scientist. Elon is also a brilliant man, though he too is a physicist, not a computer scientist." This absurd dismissal of Musk and Hawking was in response to an absurd question about "the possibility of an artificial superintelligence trying to destroy mankind in the near future." However, in Commander #1's immortal words, "We've analyzed their attack, sir, and there is a danger."

Blue Flatline

What We’ll Do When Ad Tech Dies


When you analyze the effects of fraud, viewability and ad blocking on the digital display advertising business, then add the ever-increasing abilities of the traffic launderers to game the system, you reach an inevitable conclusion: ad tech has evolved into a toxic ecosystem that is killing itself, and it is taking digital advertising with it.

Google Home and Amazon Echo

I’ve Talked to the Future and It Talked Back


Sometimes I walk into a room and say, “Alexa, what’s the temperature outside?” She answers by speaking the current temperature followed by an abbreviated weather report. She’s so human-like, I have to resist the temptation to say “Thank you” when she finishes. Importantly, Alexa is not a she; it is a component of Amazon's Echo natural language processing system. Amazon has anthropomorphized Echo with a female voice and a feminine name, which makes it easy to call Alexa a “she.” Should we be polite when we speak to it, or is it OK to be abrupt or even abusive? The device won’t care. It doesn't have feelings; but how will we teach our children to differentiate between machines that sound and act like people, and other disembodied voices that actually are people?

Will work for data

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


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.