The first real-time, plug-and-play AI entity resolution product for fraud detection.       Learn more >
Privacy by Design (PbD) as authored by Ann Cavoukian, Ph.D. (former Information & Privacy Commissioner Ontario, Canada) and Jeff Jonas (Founder & CEO, Senzing). Published June 8, 2012. It serves as a guiding principle for the GDPR. Text on the button
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PUBLISHED NOVEMBER 9, 2017 By Erin Beresini in Triathlete Magazine Picture 60 people settled in for lunch at swanky Cili Restaurant in Las Vegas. They’re members of TBAN, the Technology Business Alliance of Nevada—a generally serious bunch—and they’re here to learn how to think differently about using data from a distinguished tech entrepreneur. Jeff Jonas ...
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By Jeff Jonas, published February 20, 2018 When asked about unstructured data this is all I have to say: “Unstructured data is only useful if structure can be extracted from it.” Let me explain: A picture taken in pitch black without a flash is useless as it contains no discernible features. The mobile phone call ...
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By Jeff Jonas, published February 12, 2018 I’ve been building Entity Resolution algorithms for a very long time. The first time, in the early 80’s for credit bureaus/collection agencies as they needed ‘debtor matching.’ God forbid they call the same person twice for two different debts. Then come the ‘90’s and I find myself in ...
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By Jeff Jonas, published February 1, 2018 The EU’s Global Data Privacy Regulation (GDPR) has upped the privacy ante. As of 25 May 2018, any company who does business with EU citizens must be able to respond to their requests to access their personal data within 30 days or face huge fines. Is your organization ...
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By Jeff Jonas, published January 26, 2018 Good morning world! We are Senzing and this is a big week for us. We’ve been operating in stealth mode since August 2016 when we signed a unique partnership with IBM to license the G2 technology. Following an additional year and a half of engineering, today I can ...
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