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The "1-10-100 rule" is a concept in data quality management that suggests the cost of addressing a data quality issue increases as the issue moves through different stages of the data life cycle.
Our guests, Cognistx Product Manager Romy Dhiman and Data Scientist Justin Waltrip, address the transformational effect of AI on data quality.
The "1-10-100 rule" is a concept in data quality management that suggests the cost of addressing a data quality issue increases as the issue moves through different stages of the data life cycle.
Our guests, Cognistx Product Manager Romy Dhiman and Data Scientist Justin Waltrip, address the transformational effect of AI on data quality.
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