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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John Breeden II reviews Senzing. Senzing makes connections between elements in many databases, including connections with fuzzy data and purposefully false data. Senzing reassesses previous assumptions in real time.
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Jeff Jonas blogs about the laborious process of manually or automatically searching each individual system to locate data meeting specific criteria. He then explains how entity resolution effectively and efficiently solves these deficiencies.
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Carahsoft announces a strategic partnership with Senzing as master government reseller.
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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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Jeff Jonas explains entity resolution in detail, with the assistance of examples, at IBM Think 2018.
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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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