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The document discusses data migration and cleaning using human inference technology. It notes that traditional data migration tools have limitations and cannot interpret data. Human inference technology leverages the power of knowledge to clean and standardize data during migration. Examples are provided of how human inference can identify incorrect addresses, standardize capitalization, and resolve other data quality issues. The consequences of not properly cleaning data during migration are also listed.





















