Скачать или смотреть Win with a proprietary data moat

Founders keep asking how to build a defensible AI business in 2025. A powerful answer is the proprietary data moat. Reports show 65%+ of high value AI startups rely on unique, exclusive datasets that competitors cannot copy. VCs favor data from sensors, user workflows, and hard to get partnerships. Examples include medical imaging, private finance transactions, and behavior data from learning apps like Duolingo.

what is a proprietary data moat and why it matters?
how unique, domain data beats generic data in funding and defensibility?
simple ways to start today: partner, label, build feedback loops?
risks to watch: privacy, cost, time, and governance?

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