In this video, Jeff Jonas discusses three common issues that entity resolution systems struggle with and how Senzing solves those issues.
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Watch this video as Jeff Jonas explains how an entity-centric learning entity resolution system matches data faster, more accurately, and is smarter overall when compared to data matching or record linkage systems.
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In this video, Jeff Jonas explains how easy it is to get immediate benefits from integrating entity resolution with just a few API calls, whether your software runs on premises, in a private cloud, or as a service.
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Watch this video as Jeff Jonas unpacks why continuous entity resolution is so important for making accurate business decisions.
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In this video, Jeff Jonas explains some of the tools the Senzing offers for open source entity resolution.
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Watch this video as Jeff Jonas goes through specific examples of what can happen when performing fuzzy matching for advanced data matching and relationship detection.
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In this video, Jeff Jonas discusses how entity resolution enhances machine learning outcomes.
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In this video, Jeff Jonas describes entity resolution is important for improving outcomes.
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In this video, Jeff Jonas explains the ease of adding entity resolution capabilities from a third party to your product.
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Watch this video as Jeff Jonas explains what fuzzy matching is and how it helps connect the dots in your data.
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Watch this video as Jeff Jonas explains why 100% explainable entity resolution results are so valuable and how Senzing delivers them.
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Watch this video as Jeff Jonas explains what entity resolution is and how we define it at Senzing.
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