In a Q&A with DataInformed, IBM Fellow and Entity Analytics Group Chief Scientist Jeff Jonas discusses his involvement with Privacy by Design and how he integrated it into new predictive analytics software. Jonas has created technology that allows businesses to collect and analyze data from multiple sources in real time to help make “smart” decisions. He said, “One of my goals in the use of Privacy by Design in the G2 project was what kind of privacy features can I bake in that cost no more? In other words, they’re by default. They’re built in. In fact, a few of them, you can’t even turn them off. That way, someone’s not left there with a decision, ‘Yeah, we trust ourselves. I don’t have to pay extra for a privacy feature. I’d rather just buy more disk space.’”
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