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.
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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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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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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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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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Jon Prial interviews Jeff Jonas about the difficulties of understanding a person's data. Entity resolution is a harder problem than you might imagine.
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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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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.
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The Senzing Technical Team blogs about architecture that should be used for systems making real-time decisions about new or existing entities.
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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.
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The Senzing Technical Team blogs about how Senzing performs entity resolution on inbound records as they are received.
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The Senzing Technical Team blogs about how 'principles' make entity resolution better than a system utilizing 'rules.'
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