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.
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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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Bob Gourley of CTOvision reviews Senzing. Every organization that has data likely has entity resolution challenges- figuring out who is who and what is what in their data.
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Jeff Jonas blogs about his history with PbD on the 70th Anniversary of Universal Declaration of Human Rights. Jeff discusses the PbD paper he co-authored with Ann Cavoukian and how these features are built into Senzing core technology.
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Deepak Rangarao of IBM Analytics/Ecosystem reviews Senzing as a guest blogger. He discusses how Senzing can be used to target identity fraud with up to 100,000 records for free.
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Jeff Jonas speaks with David Becker at the International Association of Privacy Professionals (IAPP) keynote panel: ‘Privacy. Security. Risk.’ for the International Association of Privacy Professionals (IAPP) on October 18, 2018.
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John Breeden II reviews Senzing. Senzing makes connections between elements in many databases, including connections with fuzzy data and purposefully false data. Senzing reassesses previous assumptions in real time.
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Jeff Jonas blogs about how the Senzing name came to be.
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