Healthy Alliance chose Senzing entity resolution to create 360-degree views of individuals from 150+ data sources.
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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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451 Research’s Market Insight Report recognizes how Senzing entity resolution can solve a persistent pain point in enterprise data quality.
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Digital transformation needs entity resolution to achieve accurate 360-degree views of data about people, organizations and relationships.
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Companies evaluating entity resolution software often make three painful mistakes. Learn how to avoid these costly errors and reduce your risk of buyer’s remorse. Get tips on how to ensure your evaluation is a success.
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Entity resolution is the process of determining when people or organizations are the same, despite differences in how they are described. Entity resolution is known by many names including data matching, record linkage, fuzzy matching and more.
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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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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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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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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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