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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James Maguire speaks with Jeff Jonas on the challenges of duplicate entries in a data repository and how to overcome them for optimum performance of your data analytics platform.
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In this video, Jeff Jonas describes entity resolution is important for improving outcomes.
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Mike Barrett, head of anti-money laundering products, discusses the business and technical reasons why NICE Actimize decided to embed Senzing entity resolution into its AML product suite.
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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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Mitch Ashley of Techstrong Research interviews Jeff Jonas about the ties between quality and security. They also discuss entity resolution use cases.
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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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Healthy Alliance chose Senzing entity resolution to create 360-degree views of individuals from 150+ data sources.
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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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