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The Foundations of Scalable AI

A scalable AI system requires a strong foundation. Data, engineering, platforms, operating models, and governance must converge to work as one.

Les fondements de l'IA scalable
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This session from MIT Technology Review's EmTech Future conference explores what it takes to build that foundation in a highly regulated environment and how a responsible, trustworthy implementation can turn emerging capabilities, including agentic AI.

To build a scalable AI, several key factors must be considered, including data quality, architecture robustness, and adaptability to change.

Creators and designers can benefit from this evolution by having access to more advanced tools and technologies, enabling them to create more personalized and effective user experiences.

Consulter la source ↗MIT Tech Review AI

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