The Foundations of Scalable AI
TL;DR
A scalable AI system requires a strong foundation. Data, engineering, platforms, operating models, and governance must converge to work as one. 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….
Nauti's Take
For small teams, the first test should focus on governance and data access: can sources, permissions, audit logs, and human approvals be handled cleanly in a limited agent workflow? The session sounds relevant for architecture planning, but this summary provides too few technical details to support an investment decision.
Summary
A scalable AI system requires a strong foundation. Data, engineering, platforms, operating models, and governance must converge to work as one.
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…
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