Senzing

Entity Resolution Breakthrough Using AWS ECS Fargate & Aurora PostgreSQL Serverless

Jeff Jonas blogs about Senzing- witness the deployment of a fully scalable AWS serverless stack from start to finish in 24 minutes of clock time.

Senzing Adds Tybra Arthur as Strategic Advisor

Former IBM Executive joins as Strategic Advisor to collaborate on driving awareness for how Senzing AI-based entity resolution can be used for financial services.

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Tim O’Reilly and Dr. Bernard Meyerson are Strategic Advisors

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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Quickly Discover Hidden Connections in PPP Loan Data Using Senzing

Jeff Jonas blogs about a tutorial showing how easy it is to accurately combine data from different public sources, in this case Paycheck Protection Program (PPP) loan data fraud using the Senzing App.

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Another Use for AI: Finding Millions of Unregistered Voters

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.

Who’s Who in Your Data

Jon Prial interviews Jeff Jonas about the difficulties of understanding a person's data. Entity resolution is a harder problem than you might imagine.

Uniquely Senzing

Jeff Jonas blogs about our latest white paper entitled "Uniquely Senzing." He discusses six areas where the Senzing real-time AI for entity resolution stands apart from its competitors.

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Entity Resolution Capabilities to Consider

The Senzing Technical Team blogs about a comprehensive list of capabilities to consider when evaluating whether to buy vs build enterprise-grade entity resolution technology.

Senzing Architectural Pattern for Perpetual Insights

The Senzing Technical Team blogs about architecture that should be used for systems making real-time decisions about new or existing entities.

Entity-Centric Learning vs. Record Matching Methods

Jeff Jonas blogs about why the record matching method, the long-standing standard in entity resolution, no longer cuts it this day and age. Entity-centric learning is the more advanced way to do entity resolution.

Entity Resolution Processes

The Senzing Technical Team blogs about how Senzing performs entity resolution on inbound records as they are received.

What is Principle-Based Entity Resolution?

The Senzing Technical Team blogs about how 'principles' make entity resolution better than a system utilizing 'rules.'

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