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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Former IBM Executive joins as Strategic Advisor to collaborate on driving awareness for how Senzing AI-based entity resolution can be used for financial services.
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Jon Prial interviews Jeff Jonas about the difficulties of understanding a person's data. Entity resolution is a harder problem than you might imagine.
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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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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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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 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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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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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 our first guest blogger. He discusses how Senzing can be used to target identity fraud.
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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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