Will Big Data Free Us Or Enslave Us?

In two of the top stories this week, we heard about the “dating apocalypse” which apps like Tinder have facilitated, and the seemingly relentless data driven life of the typical white collar worker (and by the description they do sound more like workers than employees to most) at Amazon. We heard about how cutthroat things are at Amazon, how there is no such thing as a work/life balance (if you want a life you can’t work there) and that decisions are driven by data. Data on top of data on top of metadata – their lives are driven by meeting certain metrics and no one cares if they have lives or not.

Amazon justifies it by saying that they need that kind of slavery to the cause in order to drive innovation, and if you look at it from a coldly logical approach, then I can see the point, in driving workers to a certain degree.  After all I did mention in an earlier post that pushing people out of their comfort zone Рlike Robert Irvine or in the Marines are one of the few ways in which you can change behavior. Amazon is molding their people to be little, super hard working engines Рbut not necessarily innovative ones. They expect all of their people to work as hard as if they ran a small startup, but without the possible huge upside of it.

But I digress. I was talking about data, Amazon and the dating apocalypse. At Amazon, cold hard data seems to drive every decision, someone doesn’t perform, they are out. It seems like there is little to no human element in the interaction – who cares if you or your mother have cancer or not – work or get out. On the flip side, Tinder and similar dating apps seem to thrive on a lack of data – people make decisions on who to hook up with based on very little data – a photo and maybe a little interaction. One uses too much data and not enough humanity, and the other is the opposite.

If you ask me, the only perfect solution is a discrete blend of data, algorithms and humanity. The ideal innovative company drives employees hard, sure, but also rewards them well, based on human factors. The ideal dating app should provide pre-selected possible mates, based on data. (BTW, I am currently working on a startup in this space, so if you are a data scientist and are interested, please ping me at [email protected].com)

If you look at Amazon, Apple, Google and Facebook, would you argue that Amazon is the most innovative? Simply looking at the surface of innovation, I don’t see how Amazon’s dog eat dog culture makes them more innovative in actuality than the others. Does free food at Google make you innovate less? Does keeping you hungry at Amazon let you innovate more?

At the beginning of the web, we leaned on humans. Now we lean too much on data and algorithms. For everything we do, we need to find that perfect blend of data and humanity in order to create the perfect service. For dating, that means adding data to find the perfect match. For work, it means bringing the humanity back to the workplace, to stop using technology to monitor humans, but to help them do and be better.

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Chris Kalaboukis
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Chris Kalaboukis

CEO / Co-Founder at helloFUTURE
Chris is a prolific inventor (60+ patents), exceptional innovator (headed internal banking, retail and technology innovation programs), experienced technologist, serial entrepreneur and futurist.
Chris Kalaboukis
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