Data Seeding

nounverified·updated May 18, 2026

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The intentional introduction of initial state conditions, influencing factors, and outcomes (both successful and unsuccessful) in a data fabric to create sufficient machine learning analysis signals to enable encouragement/discouragement to enrich deterministic relationships between data elements in a given information domain.

Framework senses

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IEEE Guide for Terms and Concepts in Intelligent Process Automation1 senseview framework →

§1: The intentional introduction of initial state conditions, influencing factors, and outcomes (both successful and unsuccessful) in a data fabric to create sufficient machine learning analysis signals to enable encouragement/discouragement to enrich deterministic relationships between data elements in a given information domain.