Machine Learning Is Bringing the Cosmos Into Focus

Who Will Own Your Data If the Tech Bubble Bursts?

Who Will Own Your Data If the Tech Bubble Bursts?

Please consider disabling it for our site, or supporting our work in one of these ways

Imagine that Silicon Valley’s nightmare comes true: The bubble bursts. Unicorns fall to their knees. The tech giants that once fought to attract talented developers with mini-golf and craft beer scramble to put out fires. This is the setting of a cyber-doomsday scenario developed by researchers at Berkeley’s Center for Long-Term Cybersecurity and published last month. They gamed out five different scenarios based on current trends in online security—and this one is by far the most alarming. If stock prices plunge, the researchers ask, what will be left of the Facebooks and Twitters of the world? Like a broken-down car that can only be scrapped for parts, the only thing worth salvaging from the shells of former tech companies may be user data. In their report, the researchers imagine a slow start to the tailspin that eventually leads to the collapse of our current Internet Age. It starts with a disillusionment with Silicon Valley (“When did we stop trying to change the world and instead just make indulgent products for rich 30-year-old singles?”) and subsequent developer exodus to Asia. Europe starts regulating technology even more aggressively, and investors start rolling their eyes at buzzwords like “innovation.” Finally, some outside event—a revolution overseas, a contentious election—shakes up markets, and the collapse begins. Stock prices soon fall by 90 percent.

Read Also:
The 7 Myths of AI

Desperate companies will resort, if they can, to selling the detailed data they’ve meticulously collected about their users—whether it’s personally identifiable information, data about preferences, habits, and hobbies, or national-security files. That data, formerly walled-off and spoon-fed only to paying advertisers, would be attractive to both licit and criminal buyers. Easily searchable datasets could generate new innovations and  investments—but it would be difficult to know who’s buying up sensitive datasets, and why. If contracts and privacy policies prevent a floundering company from selling user data, there’s still another way to profit. Most privacy policies that promise not to sell user data include a caveat in case of bankruptcy or sale. In fact, a New York Times analysis of the top 100 websites in the U.S. last year found that 85 of them include clauses in their privacy policies like this one from Facebook: If the ownership or control of all or part of our Services or their assets changes, we may transfer your information to the new owner.

Read Also:
Can Small Businesses Benefit From Big Data Analytics?


HR & Workforce Analytics Summit 2017 San Francisco

19
Jun
2017
HR & Workforce Analytics Summit 2017 San Francisco

$200 off with code DATA200

Read Also:
High Performance Data Analytics (HDPA) Market worth 78.26 Billion USD by 2021 – SAT Press Releases

M.I.E. SUMMIT BERLIN 2017

20
Jun
2017
M.I.E. SUMMIT BERLIN 2017

15% off with code 7databe

Read Also:
Nvidia Surges in 2016 Using Graphics Chips to Challenge Intel

Sentiment Analysis Symposium

27
Jun
2017
Sentiment Analysis Symposium

15% off with code 7WDATA

Read Also:
Leaked Data Now Going to the Highest Bidder

Data Analytics and Behavioural Science Applied to Retail and Consumer Markets

28
Jun
2017
Data Analytics and Behavioural Science Applied to Retail and Consumer Markets

15% off with code 7WDATA

Read Also:
Artificial intelligence: Leveraging machines to dissect ransomware DNA

AI, Machine Learning and Sentiment Analysis Applied to Finance

28
Jun
2017
AI, Machine Learning and Sentiment Analysis Applied to Finance

15% off with code 7WDATA

Read Also:
Artificial intelligence: Leveraging machines to dissect ransomware DNA

Leave a Reply

Your email address will not be published. Required fields are marked *