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 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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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 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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Jeff Jonas blogs about the laborious process of manually or automatically searching each individual system to locate data meeting specific criteria. He then explains how entity resolution effectively and efficiently solves these deficiencies.
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Jeff Jonas blogs about using data to figure out how to ask the right questions. With Data Finds Data behavior, your systems can automatically and in real time flag data that is connected so you can start asking the right questions.
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Jeff Jonas blogs that unstructured data is only useful if structure can be extracted from it. Feature extraction algorithms can be helpful in this process.
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