MIT Technology Review Explores Scalable AI Foundations — SkimNews
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- Scalable AI systems depend on a strong foundation spanning multiple technical and organizational layers.
- Data, engineering, platforms, operating models, and governance must converge to work as one.
- MIT Technology Review explores what scalable AI requires in a session from its EmTech Future conference.
- The EmTech Future session focuses on building that foundation in a highly regulated environment.
Why it matters: For organizations in highly regulated environments, the practical standard is collective: five foundation layers—data, engineering, platforms, operating models and governance—must operate as one. Scalability is therefore defined by coordination across the full system, rather than by the strength of any single layer.
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