It’s so easy to get lost in data. It’s everywhere; from the moment we wake up in the morning and check our phones, to the apps we open and use, the websites and places we visit, the transactions and tweets and Facebook posts we write, emails we send, searches we do. Everywhere we go, science tells us, we leave a little bit of our microbiome (the microbial communities that live on and around our bodies) and, increasingly, a digital “microbiome” as well; the collection of data that we generate as we live our daily lives.
As I think about these ideas—a human and data signature!—I feel a simultaneous sense of wonder and unease. I feel wonder at the immense complexity of our existence, and at the way the human body masks that complexity with apparent simplicity. To me, that seems like a blueprint for how we should think about data: complexity masked in simplicity.
The problem is, sometimes that simplicity can lead us astray. I talked about some of that unease, and some of the challenges of “big” and “little” data, in my TED@IBM talk last year, and in a companion piece published shortly after entitled “What do we do with all this big data?”
The challenges are twofold: how do we extract insight from data, while preserving (and nurturing) the trust of the people we serve? I will tell you that as I sat in the audience at TED@IBM this year(along with some of the other TED speakers from last year—Kare Anderson, Bryan Kramer, Erick Brethenoux, Tan Le and others), I felt a sense of relief. Part of that relief, some of us joked, was not being onstage this year (it is a very intense experience), but the major part was that the research we were hearing about was simultaneously ground breaking and deeply principled.
The theme this year was “Necessity and Invention,” and here are just a few of the topics presented:
All of these examples, and so many others that day, show us how data can be used to improve the daily lives of the billions of people on our planet. At the same time, it can also reveal new business models and inventions that would have been unthinkable even a decade ago: a stock market for sneakers? Context-aware privacy technology? Computers with a sense of humor?
What energizes and comforts me as I think about all the invention around us is that the relative cheapness of processing and the availability of data has made it possible for so many people to radically rethink our world. And as great power confers great responsibility, it also requires that we think deeply and with integrity about how we use data, how we collect it and process it, and whether those practices engender the trust of those we interact with.
I explored this in a research report called The Trust Imperative: A Framework for Ethical Data Use earlier this year, and it is one of the main issues on my mind these days. As predictive analytics, virtual reality and artificial intelligence move into the mainstream, the implications (and capabilities) of data will become even more urgent and complex.
And there you have yet another aspect of necessity and invention: the need to think about how we mine, refine and use data—one of the most critical raw materials of our digital age.
Susan Etlinger’s thoughts on the recent TED@IBM event on data.
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In a moving talk, she explains why, as we receive more and more data, we need to deepen our critical thinking skills.
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This week, Facebook re-launched Atlas, the ad platform it bought from Microsoft last year.
As part of our open research process, I would like to extend an invite for your input, feedback, case examples, or any other insights you’d like to contribute to our upcoming research around the Internet of Things.
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Your refrigerator has a message for you — and no, it’s not that you need more orange juice– it’s an ad for belly fat pills. Thanks, Refrigerator. This post was originally posted on Wearable World News. The original can be found here.
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