And that's how Watson and his co-founders, John Myers, Ali Golshan and Laszlo Bock came up with Gretel. "We're building right now software that enables developers to automatically check out an anonymized version of the data set," said Watson. This so-called "synthetic data" is essentially artificial data that looks and works just like regular sensitive user data. Gretel uses machine learning to categorize the data -- like names, addresses and other customer identifiers -- and classify as many labels to the data as possible. Once that data is labeled, it can be applied access policies. Then, the platform applies differential privacy -- a technique used to anonymize vast amounts of data -- so that it's no longer tied to customer information. "It's an entirely fake data set that was generated by machine learning," said Watson. The startup has already raised $3.5 million in seed funding. "Gretel said it will charge customers based on consumption -- a similar structure to how Amazon prices access to its cloud computing services," adds TechCrunch.
Read more of this story at Slashdot.