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Driving to Oblivion

It was surprising to me to hear when a friend of mine had taken a job driving for Uber. Now there is nothing wrong with driving for Uber, I was surprised as my friend and I had met in college and I thought him a smart man and good student, talents not so much in demand as an Uber driver. It seems this electronic revolution, will have the same effect as the industrial revolution only on a larger scale. While the industrial revolution took skilled laborers and reduced them to a cog in an assembly line, this computer revolution seems to be doing the same for every worker. It seems that there is no skill that cannot be replaced, revised or in some way significantly downsized by computers and automation. Just as skilled craftsmen and blacksmiths were relegated to endlessly executing the same task, now college educated people are finding their jobs behind the wheel of the cars that the first revolution made possible.
They say now we are teaching our children skills for jobs that do not yet exist so that they can be ready for what is to come. Let us hope we are not giving them all driving licenses for an age of driverless cars.

Uber, Uber driver, electronic revolution, industrial revolution, automation, downsized, computers, assembly line, computer revolution, revolution, driverless cars, Driving licenses

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More, Moore, MORE!

While thinking about Moore’s Law, you may remember, it states that the number of transistors in a dense integrated circuit doubles approximately every two years, with the second law being that cost would fall with each new development, I was reminded of a passage from “Big Data” by Mayer-Schonberger and Cukier about the growth of information and the ability to share it. From the advent of Arabic numerals, writing, print and so forth it seems that the pace of our ability to share and manipulate data has been getting faster not unlike Moore’s Law. The world that most of us grew up in is very different from the world that we are living in now and will, no doubt, look much different in the future. How are we to understand and relate to the world that may be changing faster than our ability to understand it. Motion picture film moves at 24 frames per second that transform single images into a fluid moving image. Will our technology begin to move so fast that the single now is transformed into a rapidly disappearing past, beyond our understanding or realization?

Moore, Big Data,

 

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Pattern = Profit

Recently I heard about an NPR podcast how computers are now using big data to make predictions about our behavior. This may mean tracking the number of cars in a shopping center parking lot to see how it correlates with activities or sales in the mall. It seems that computers can watch what we do, make a prediction as to our behavior and market to us to satisfy our need before we know what we need or want. As soon as companies can begin to predict our behavior they will be there to market to us for profit. It seems that our only way for people to hold on to our humanity will be to be unpredictable. Our constancy seems to be something that will turn us into machines that the machines we create will understand.financial gain, profit, choice, big data

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Retail Profiling

When I was growing up outside of Chicago, I often went into the Loop to look at the architecture, see a movie or the latest show at the Art Institute. One particularly cold winter I remember my winter coat had had a rather tough time of it, after falling in slushy snow on several occasions and truth be told, I looked rather rough, knit hat pulled down to my eyebrows and proudly showing that first bit of beard. The cold and wind made me take refuge in a new lifestyle brand clothing store that had just opened. I was just warming up when I noticed a clerk who seemed to have no other job than to follow me around the store.  Everywhere I went he made sure that he was in my gaze, making it clear that I was not welcome there. This made me so uncomfortable that I soon decided the arctic Chicago weather was better than the clerk’s cold gaze.
This came back to me while reading Joseph Turow’s “The Isles Have Eyes”, a fascinating new book on big data’s effect on retailing and the future of sales in general. It seems that retailers are now tracking our transactions both through our purchases and in the store via facial recognition to create a live buyer persona to project our needs and try to fulfill them before we reach the checkout isle. While a frequent buyers program can give discounts, Turow proposes that a store could tailor your experience to the store’s needs and perception of who you are and how your presence fits into their brand. For example, if you shop at that store only occasionally but spend a lot of money the store may want to woo you. Once the store recognizes you with facial recognition, they may alert a clerk to your presence, have them approach you with suggestions all based on your buying history. They may also have other information about you, say family names or photos from social media or a recent promotion from trade papers or press- all to ensure your return to their store. While this may be a bit creepy, the opposite is even worse. Let’s say a stores database decides you are not their demographic for whatever reason. A store clerk could be sent to shadow you around the store and if deemed necessary, even call security and remove you. All from the data that has been gathered about you, whether you know it or not. It seems that in the future we can be discriminated against not only for how we appear physically but electronically.

What can you do when your data decides who you are?

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Predict At Your Own Peril

Like many people, I have been following the political race pretty closely and have been surprised bordering on shocked in the way that the candidates respective roles have been portrayed. I understand that there is a whole grammatical ballet around how one presents a candidate, there is an entire lexicon available to refer to candidates with the correct meaning, but as we refer to the “Presumptive” nominees it seems as though we take our data to higher and higher platitudes (with a nod to the late Mayor Dailey).  It seems as if because we can sample data and make predictions from it that these predictions are obliged to have the future oblige the prediction.  An off colour remark by a candidate and the pundits  are showing us how this will put his future victory in peril, all charted with colour maps showing  delegates hanging like low-pressure systems awaiting the next prediction to blow them to a different course. Maybe we are looking to be ruled by the predictive force of algorithms in place of our own free will. We still have a voice but we won’t for long we allow the predictions to become the dictators of reality.

 

truman

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