Etiket: ML features & embeddings

One-line summary: In deals with data partners or vendors, nail down data ownership over enriched/derived data up front—who owns ML features, embeddings, labels, and model outputs built from your raw data—because it directly impacts valuation, IP risk, and exit. Why investors care When your product moat is “data + models,” unclear data ownership over enriched/derived […]
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