#MITTechnologyReview

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

The engineering system surrounding an AI model increasingly determines whether its intelligence can be delivered reliably, economically, and at scale.

Enterprises need economically scalable capacity to keep pace with the data created by AI inference.

Moving AI beyond experimentation requires connecting agents to operational context and identifying the business processes where they can deliver the greatest value.