Operationalizing AI for Scale and Sovereignty
TL;DR
Companies are taking control of their own data to tailor AI to their needs. The challenge: balancing ownership with the safe, trusted flow of high-quality data required for reliable insights. A conversation from MIT Technology Review's EmTech AI conference examines how AI factories unlock new levels of scale, sustainability, and governance.
Nauti's Take
Worth noting: companies are slowly accepting that data sovereignty and AI scale are not opposites but an architectural choice – real progress. The catch: the term AI factory gets thrown around loosely and means very different things by vendor, from GPU cluster to data pipeline.
Useful framing for enterprises with their own data estate; SMBs should look closely at what the buzzwords actually deliver.
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