Enterprises waste time, money, and trust when every team rebuilds similar models or reuses uncertified artifacts. This 20‑minute executive monologue opens with a concise vignette where duplicated churn-detection models produced inconsistent customer outcomes and ballooning costs. Mirko then delivers a non-technical playbook for building an internal Model Marketplace: how to inventory candidate models, set certification gates (performance, lineage, data-provenance, SLOs), design internal pricing or showback, and create a lightweight catalog and governance board to approve reuse. The episode includes pragmatic artifacts executives can commission immediately—catalog taxonomy, certification checklist, contract snippets for internal SLAs, and a 30–90 day pilot to certify the top 10 reuse candidates. Listeners get board-ready KPIs (reuse rate, cost-saved-per-model, certification latency) and negotiation language to align product, platform, procurement, and legal. CTA: download the Model Marketplace Starter Kit at datascience.show/model-marketplace. That’s the difference between models and value.

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