Check out how we've improved performance, improved infrastructure requirements, and reduced total cost of ownership (TCO) to the Senzing API.
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There are seven key capabilities, each with their own development challenges, that ISVs should be aware of when wanting to build entity resolution models into their offerings.
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ISVs trying to decide whether to build or buy better data matching or relationship detection for their commercial software product can get advanced and affordable entity resolution in a couple of sprints.
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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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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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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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Jeff Jonas blogs about why record matching method, the long-standing standard in entity resolution, no longer cuts it this day and age. Entity Centric Learning™ is the more advanced way to do entity resolution.
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Richard Wozniak of IBM interviews Jeff Jonas in his personal blog. They discuss the origins of Senzing, Jeff's quest to democratize entity resolution and the partnership with IBM Cloud Pak.
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Jeff Jonas blogs about entity resolution algorithms. What does your system do? Try our Synthetic Truth Set.
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Jeff Jonas and Anju Gupta blog about one quick and easy way for cost take-out and why CDOs and data strategists may be overlooking it.
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