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Data Integrity as a Method for Preserving Democracy

Jeff Jonas speaks with David Becker at the International Association of Privacy Professionals (IAPP) keynote panel: ‘Privacy. Security. Risk.’ for the International Association of Privacy Professionals (IAPP) on October 18, 2018.

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Review: Could Do-It-Yourself AI Make People More Comfortable with It?

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.

Making “Sense” of the Name Senzing

Jeff Jonas blogs about how the Senzing name came to be.

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Why Federated Search Bites

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.

Review: Senzing Uncovers Relationships Hiding Within Big Data

John Breeden II reviews Senzing. Senzing uncovers fraudulent activity or uncover accidental data duplication for a financial institution. Anyone with a complex data set can uncover fraud with Senzing® software.

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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.

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