Senzing is making it easier for developers to evaluate entity resolution. In about six hours, discover the unprecedented accuracy, ease of use and affordability Senzing delivers.
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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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Developers can stand up a serverless Senzing API deployment via AWS resources such as AWS Elastic Container Service (ECS), AWS Simple Queue Service (SQS) and AWS Aurora serverless in about 30 minutes.
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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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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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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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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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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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