Watch this video as Jeff Jonas discusses the challenges of building entity resolution yourself and how the Senzing plug-and-play API offers a compelling option.
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Learn about the value of entity resolution, the different types of software available, and key criteria for evaluation.
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Watch this video with Jeff Jonas and Will Layton to learn how entity resolution and perpetual KYC help financial organizations identify how risk or opportunity is changing in real time.
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Get the new libpostal data model from Senzing. It's more accurate, up to date and has broader coverage than the 2016 model.
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Jeff Jonas blogs about an article Ben Lorica wrote in his Gradient Flow newsletter about the unique technology of Senzing and potential inspiration for others pursuing the next generation of AI/ML.
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In this video, Jeff Jonas and Will Layton discuss how real-time continuous vetting enables you to leverage information as fast as you receive it.
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USCIS chose Senzing entity resolution to provide data matching and relationship detection in its fraud detection solution.
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Watch this video as Will Layton discusses how Senzing explainability can help you and others understand and trust your entity resolution results.
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In this video, Will Layton dicsusses discusses the challenges and costs of building entity resolution yourself.
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Learn why libpostal users should try entity resolution to help make sense of their address data and people/organization connections.
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Watch this video as Jeff Jonas discusses the types of pre-configured machine learning that Senzing entity resolution uses to be accurate out of the box and get smarter over time.
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Ben Lorica speaks with Jeff Jonas about how Senzing makes entity resolution easier and more effective, and why this deceptively complicated task is a challenge to tackle on your own.
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