Watch this video as Jeff Jonas discusses the steps he recommends to take when conducting a Proof of Concept (PoC) to determine whether to buy or build an entity resolution system.
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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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Jeff Jonas discusses how entity resolution can help with digital transformation proiects.
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Watch the latest video to learn the best methods to test your entity resolution for accuracy and how to audit how your system resolves your data.
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Jeff Jonas discusses in this video how to decide whether to invest in building in-house or buying a commercial entity resolution solution.
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In this video, Jeff Jonas discusses three common issues that entity resolution systems struggle with and how Senzing solves those issues.
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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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Watch this video as Jeff Jonas explains how an Entity Centric Learning™ entity resolution system matches data faster, more accurately, and is smarter overall when compared to data matching or record linkage systems.
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In this video, Jeff Jonas explains how easy it is to get immediate benefits from integrating entity resolution with just a few API calls, whether your software runs on premises, in a private cloud, or as a service.
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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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Watch this video as Jeff Jonas unpacks why continuous entity resolution is so important for making accurate business decisions.
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In this video, Jeff Jonas explains some of the tools the Senzing offers for open source entity resolution.
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