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Time again for Cyber Resistance at Il Cantiere in Milan, in April 10-11 2015. This year we will talk about the Ubquitous Commons: how to claim back your data from online services, and decide how it should be used.
Don't believe every number that you encounter.
Oral-B, a Procter & Gamble company, this year launched its SmartSeries Bluetooth toothbrush — an essential appliance for what the firm calls “the well-connected bathroom”. It connects to your smartphone, where its app tracks brushing tasks (have you flossed? cleaned the tongue? rinsed?) and highlights areas of the mouth (visualised on the phone screen) that deserve more attention. More importantly, as the toothbrush’s website proudly announces, it also “records brushing activity as data that you can chart on your own and share with dental professionals.” What happens to that data — whether it goes to these dental professionals, or your insurance company, stays with you or is appended to your data already owned by Facebook and Google — is a controversial question.
Do You Have Any Rights in the Age of Big Data Analytics?
For open source developer Johannes Ernst, what the world really needs is a simple device that anyone can use to take their data back from the wilds of the internet.
Estimates vary, but by 2020 there could be over 30 billion devices connected to the Internet. Once dumb, they will have smartened up thanks to sensors and other technologies embedded in them and, thanks to your machines, your life will quite literally have gone online.
I think this is a very correct assumption as there seems to be no exit-door in this 'networked society' and clearly technology does not have ethics — but where does this leave us mere mortals?
Big data has consistently been one of the hottest trends to dominate the business world for the past few years, in the context of both large enterprises and small- and medium-sized businesses. One of the primary reasons why it has been so loudly touted and widely adopted is its possibilities for benefiting companies' bottom lines in the best possible ways. Typically, this advantage is realized through the methods in which analyticsand business intelligence are used as the foundation for sales strategies, service initiatives and other tactics for generating revenue.
At the Guardian, Yochai Benkler explains that “all public evidence suggests that, from its inception in 2001 to this day, bulk collection has never made more than a marginal contribution to securing Americans from terrorism, despite its costs.”
As Harvard's Yochai Benkler has aptly pointed out in a brilliant Guardian guest post, the NSA has already single-handedly declared a new kind of war on the internet as we know it, but all the while, our hyper-networked digital lives are now so heavily banking on the assumption that the basic trust, permission and control mechanisms are working. Events like this are shaking those beliefs to the core. Data is the new oil, trust is the new currency – and when trust is broken, business breaks, quickly, as well. The question is, then – who needs oil when there are no cars or aeroplanes to run on it?
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This is "WIP HD" by SarahTGold on Vimeo, the home for high quality videos and the people who love them.
(Image via Shutterstock) Maybe it was the Jolie effect. Or you want to find out if you’re carrying a silent genetic mutation that could be passed on to a child.
Recently, an article was written about an experiment my company is running which aims to quantify employees through self-monitoring. To say there was some backlash is an understatement. Faced with accusations of “human rights violations”, and threats that someone was going to (excuse my French) take a “dump on my desk”, I was starting to fear the feds were going to come and prosecute me for mal practice…
Oral-B, a Procter & Gamble company, this year launched its SmartSeries Bluetooth toothbrush — an essential appliance for what the firm calls “the well-connected bathroom”. It connects to your smartphone, where its app tracks brushing tasks (have you flossed? cleaned the tongue? rinsed?) and highlights areas of the mouth (visualised on the phone screen) that deserve more attention. More importantly, as the toothbrush’s website proudly announces, it also “records brushing activity as data that you can chart on your own and share with dental professionals.” What happens to that data — whether it goes to these dental professionals, or your insurance company, stays with you or is appended to your data already owned by Facebook and Google — is a controversial question.
The number and severity of recent security breaches that compromised hundreds of thousands of consumers’ personal information was a wake-up call that the legal framework for protection of data privacy has largely failed to maintain pace with the explosion of big data analytics. In response, lawmakers and business executives are talking about new ways to raise awareness about security threats and implement regulations to ensure data privacy keeps pace with the challenges of the big data era.
This week's updates to Google's terms of service spotlight the degree to which it considers anything you upload to any of its various services – YouTube, Google plus, etc. – to be fair game.
BIg data will have surpassed big oil in economic value, and we will have global privacy, data protection and surveillance agreements, writes CEO Gerd Leonhard.
For the purpose of this discussion lets define 'big data' with my 5V's (expanded from Gartner): the exponential growth of data-velocity, -variety, -volume, -virility and -value. In other words, a lot like before but vastly larger, faster, more varied, more viral and massively valuable - and in the aggregate of these 5 trends lies its mind boggling potency. IMHO, Big Data's economic and social importance will rival that of the oil economy by 2020 - and mobile devices are already the key driver of big data, globally.
Researchers at Princeton are releasing fake profiles across the Internet to track how websites discriminate against them on price, and access to certain services.
The NSA revelations highlight the role sophisticated algorithms play in sifting through masses of data. But more surprising is their widespread use in our everyday lives. So should we be more wary of their power?
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