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.
This document is just a first step toward setting context for the many disruptions of ubiquitous and complex data, but it includes preliminary frameworks to help us examine these issues in more detail.
I’m not generally a fan of annual predictions; they always remind me of a carnival in which you’re encouraged to “pay no attention to the man behind the curtain”; you almost never win the giant teddy bear.
By now, you’ve probably heard that data scientists at Facebook recently published a study in The Proceedings of the National Academy of Science…
Late last year, I started wondering about social media command centers. Salesforce had launched one, as had Brandwatch, but I wondered: were they really still relevant? Were companies investing in command center deployments, or had interest subsided since their heyday in 2010?
It’s almost that time of year again: Altimeter’s analysts are mapping SXSW plans and schedules. Making the trip to Austin this year are Brian Solis, Susan Etlinger and Rebecca Lieb.