In this video, Jeff Jonas discusses how entity resolution reduces false positives and negatives to improve the quality of your machine learning training models.
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In this video, Jeff Jonas discusses how entity resolution enhances machine learning outcomes.
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Learn about the six areas where the Senzing real-time AI for entity resolution stands apart from its competitors.
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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 on being amazed (and surprised) by what people think is computable given their actual observation space.
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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 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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