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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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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Learn about the six areas where the Senzing real-time AI for entity resolution stands apart from its competitors.
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Read our comprehensive list of capabilities to consider when evaluating whether to buy or 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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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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Learn about how Senzing performs entity resolution beginning from the process when inbound records are received to when they are resolved.
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Uncover how a principle-based approach makes entity resolution more accurate than an approach utilizing rules.
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Richard Wozniak of IBM interviews Jeff Jonas in his personal blog. They discuss the origins of Senzing, Jeff's quest to democratize entity resolution and the partnership with IBM Cloud Pak.
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Jeff Jonas blogs about entity resolution algorithms. What does your system do? Try our Synthetic Truth Set.
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Jeff Jonas and Anju Gupta blog about one quick and easy way for cost take-out and why CDOs and data strategists may be overlooking it.
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