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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What is entity resolution? The important process of determining when people or organizations are the same, despite differences in how they are described. Understanding relationships between entities increases accuracy and provides important context.
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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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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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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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Delve into the architecture that should be used for systems making real-time decisions about new or existing entities for common use cases.
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