The CEO of O’Reilly Media and IBM Fellow and Chief Innovation Officer join as Strategic Advisors to collaborate and advise Senzing on its goal of democratizing entity resolution.
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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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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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AML Partners announces a strategic partnership with Senzing so organizations can automate the revealing/flagging of non-obvious relationships and other entity resolution concerns.
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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 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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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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