From the course: CompTIA SecAI+ (CY0-001) Cert Prep

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Data lineage and provenance

Data lineage and provenance

From the course: CompTIA SecAI+ (CY0-001) Cert Prep

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Data lineage and provenance

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To build trustworthy AI, you must understand where your data comes from and how it changes along the way. Data lineage and data provenance answer these questions. Data lineage documents the full path data takes from its original source to its final use in an AI model. It records every transformation, aggregation, and processing step that occurs along the way. This visibility allows teams to trace errors, explain results, and reproduce past experiments when needed. Data provenance focuses on the origin and authenticity of the data itself. It answers questions such as who created the data, where it was first collected, and whether it came from a reliable source. Provenance is especially important in regulated industries such as health care or finance where organizations must prove that their models are built on trustworthy data. For example, a health care organization might use lineage to trace patient data from hospital records through various cleaning and transformation steps. At the…

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