The search giant is sharing its secrets for learning about people without exposing individuals
Data about human beings can tell you countless helpful things. How crowded is a hospital waiting room on a typical Saturday? What’s the traffic like for your morning commute? But collecting all this data comes with the risk of exposing private information about individuals. When you want to know how busy a hospital is, you don’t need – or want – to know who was in the emergency room last Saturday.
That’s exactly the dilemma you face with big data.
It’s with this problem in mind that Google has introduced a group of open-source software tools that focuses on differential privacy.
It’s a concept that sets limits on how much you can learn about specific people in big data sets, something the tech industry is drowning in. Google has built many of its own data-analysis products on top of the tools, and the company envisions everyone from academics to large tech companies using the suite of software programs.
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