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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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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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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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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Richard Wozniak of IBM interviews Jeff Jonas in his personal blog. They discuss the origins of Senzing, Jeff's quest to democratize entity resolution and the partnership with IBM Cloud Pak.
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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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Alex Woodie interviews Jeff Jonas about what entity resolution is, why all organizations need it, and how it can benefit everything from CRM to fraud.
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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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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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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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John Breeden II reviews Senzing. Senzing uncovers fraudulent activity or uncover accidental data duplication for a financial institution. Anyone with a complex data set can uncover fraud with Senzing® software.
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