Senzing, Author at Senzing

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Entity Resolution 2.0 Technology Now Available on Carahsoft SEWP Contract

Carahsoft announces a strategic partnership with Senzing as master government reseller.

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Channel Separation: The Primary Tradecraft of Clever Bad Guys

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.

Data Finds Data

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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Review: Entity Resolution to Find Relationships in Databases

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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Use Real-Time AI to Hunt for Insider Threats

Channel separation is a method that hackers employ to confuse security systems. Senzing detects fraud and insider threat by performing channel consolidation.

Your Life as a Number

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.

Entity Resolution in Slow Motion

Jeff Jonas explains entity resolution in detail, with the assistance of examples, at IBM Think 2018.

Meet the Genius Who’s Raced Every Ironman on the Planet

Jeff Jonas decided to start racing Ironmans in 2010. Now he's one of three people who have completed all Ironmans in the world.

Review: Testing Senzing’s Entity Resolution Workbench

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.

Structuring Unstructured Data

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.

The Missing Link in GDPR Readiness: Single Subject Search

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.

Say Hello to Entity Resolution 2.0

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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