The Senzing Technical Team blogs about architecture that should be used for systems making real-time decisions about new or existing entities.
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Jeff Jonas blogs about why the 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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The Senzing Technical Team blogs about how Senzing performs entity resolution on inbound records as they are received.
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The Senzing Technical Team blogs about how 'principles' make entity resolution better than a system utilizing 'rules.'
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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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Deploy real-time AI for entity resolution and see a ROI in months or even weeks. Free up your top tech talent to work on more pressing tasks.
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Jeff Jonas blogs on an entity resolution subtlety that is exceptionally hard to detect and correct in real time, at scale. It's rare in most data ecosystems, but important nonetheless.
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Ben Lorica interviews Jeff Jonas about big data challenges involving entity resolution including deep learning models and big compute.
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Mithril invests in Senzing. Mithril’s Ajay Royan notes intrinsic Privacy by Design principles and the ability for anyone to download Senzing software for free as key reasons for how Senzing democratizes entity resolution.
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