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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WireWheel announces a partnership with Senzing. This partnership will help companies better comply with privacy regulations worldwide.
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Steve Lohr from the NYT dives into how Senzing technology is used to clean up voter rolls. Since 2012, Senzing has helped the Electronic Registration Information Center (ERIC) identify 26 million people who are eligible but unregistered to vote.
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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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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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Ben Lorica interviews Jeff Jonas about big data challenges involving entity resolution including deep learning models and big compute.
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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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AML Partners announces a strategic partnership with Senzing so organizations can automate the revealing/flagging of non-obvious relationships and other entity resolution concerns.
Read MoreJeff 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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