Synthetic Data Governance: An Executive Playbook to Certify, Procure & Trust Synthetic Training Data

Synthetic data is rapidly becoming a core input for training, testing, and privacy-preserving sharing—but it brings unique governance, provenance, and legal trade-offs that boards must fund and control. This non‑technical, executive‑grade monologue opens with two crisp vignettes: a synthetic augmentation that amplified bias in a high-value cohort, and a synthetic test set that masked a downstream production failure. Mirko then delivers a pragmatic playbook: a certification rubric (fidelity, representativeness, privacy leakage, lineage), minimal evidence packs to demand from teams and vendors, conservative heuristics to dollarize synthetic risk vs value, procurement clauses for attestations and sample‑escrow, and a 30–90 day pilot to certify one synthetic pipeline. Listeners leave with board‑read KPIs (synthetic‑coverage %, privacy-leakage score, model‑delta after synthetic augmentation), three immediate executive moves, and a clear subscribe CTA to access a one‑page Synthetic Data Checklist. That’s the difference between models and value.

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Видео Synthetic Data Governance: An Executive Playbook to Certify, Procure & Trust Synthetic Training Data канала DataScience Show