Jeff Jonas blogs about using data to figure out how to ask the right questions. With Data Finds Data behavior, your systems can automatically and in real time flag data that is connected so you can start asking the right questions.
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Kyle Wiggers of VentureBeat reviews Senzing. With seeded data from the financial industry, Senzing discovers relationships between people, objects, and metadata with a 97% success rate.
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Channel separation is a method that hackers employ to confuse security systems. Senzing detects fraud and insider threat by performing channel consolidation.
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Psychology Today dives into social credit systems and interviews Jeff Jonas. They discuss how each person's trail of data converts their tendencies into distinct scores. Navigating these systems will present individuals with novel challenges.
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Jeff Jonas explains entity resolution in detail, with the assistance of examples, at IBM Think 2018.
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Jeff Jonas decided to start racing Ironmans in 2010. Now he's one of three people who have completed all Ironmans in the world.
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Venky Rao reviews the Senzing app. He discusses questions that arose during the testing process, his initial thoughts, and the results that the Senzing app discovered from his data.
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Jeff Jonas blogs that unstructured data is only useful if structure can be extracted from it. Feature extraction algorithms can be helpful in this process.
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Jeff Jonas blogs about our latest study and report encompassing businesses large and small across the largest EU economies. The consensus is that many businesses will struggle to meet the challenge of adhering to GDPR.
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Senzing's website is live as of January 2018! We have been operating in stealth mode since August 2016 when we signed a unique partnership with IBM.
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Privacy by Design (PbD) serves as the guiding principle for the General Data Protection Regulation (GDPR) and was authored by Ann Cavoukian and Jeff Jonas.
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