Jeff Jonas blogs on an entity resolution subtlety that 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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Jeff Jonas blogs about our latest white paper entitled "Uniquely Senzing." He discusses six areas where the Senzing real-time AI for entity resolution stands apart from its competitors.
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Jeff Jonas blogs on being amazed (and surprised) by what people think is computable given their actual observation space.
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Ton Dobbe of Value Inspiration podcast interviews Jeff Jonas. They discuss how Senzing has developed complex solutions that are easy to use.
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Jeff Jonas blogs about how data is info and info is data. Because of this, Jeff asserts that info and data can be stored in the same spot.
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Jeff Jonas blogs about sequence neutrality. Sequence neutral computation is what humans do to reclassify data/assumptions after receiving context. Wouldn’t it be great if systems could do the same thing? Most can’t. Senzing can.
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Jeff Jonas blogs about how parties can share data without disclosure. Selective field hashing is one method for achieving this and it's available in Senzing® software.
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Jeff Jonas blogs about how over-cleaning data can make systems less intelligent. Bad data means natural variability in data. Bad data combined with entity resolution makes systems smarter.
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Jeff Jonas blogs about why establishing principle- versus rule-based entity resolution eliminates need for experts and training of datasets.
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Jeff Jonas blogs about the problems that surface when working with aggregated data sets. He also discusses the best data attributes to use when multiple attributes are known.
Read MoreJeff Jonas blogs about how and why he decided to go full nomad in 2019. In 45 days, he reduced his possessions to 200 pounds.
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Senzing real-time AI helps organizations uncover critical information to detect and preempt slip and fall fraudsters. Finding collusion between victims and those authorizing settlement is one application for entity resolution.
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