The CEO of O’Reilly Media and IBM Fellow and Chief Innovation Officer join as Strategic Advisors to collaborate and advise Senzing on its goal of democratizing entity resolution.
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Mithril invests in Senzing. Mithril’s Ajay Royan notes intrinsic Privacy by Design principles and the ability for anyone to download Senzing software for free as key reasons for how Senzing democratizes entity resolution.
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Steve Lohr from the NYT dives into how Senzing technology is used to clean up voter rolls. Since 2012, Senzing has helped the Electronic Registration Information Center (ERIC) identify 26 million people who are eligible but unregistered to vote.
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Jeff Jonas blogs about why establishing principle- versus rule-based entity resolution eliminates need for experts and training of datasets.
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Jeff Jonas blogs about the problems that surface when working with aggregated data sets. He also discusses the best data attributes to use when multiple attributes are known.
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Jeff Jonas blogs about how and why he decided to go full nomad in 2019. In 45 days, he reduced his possessions to 200 pounds.
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Jeff Jonas blogs about his history with PbD on the 70th Anniversary of Universal Declaration of Human Rights. Jeff discusses the PbD paper he co-authored with Ann Cavoukian and how these features are built into Senzing core technology.
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Jeff Jonas blogs about how the Senzing name came to be.
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Jeff Jonas blogs about how bad guys utilize "channel separation" to remain undetected. Senzing uses entity centric learning to “channel consolidate” data, even though bad guys intentionally obfuscate their identities.
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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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