Scalable AI Starts With the Basics: Data, Governance and Trust
A new discussion from MIT Technology Review’s EmTech Future conference underscores a central reality of the AI boom: scale is not achieved by model size alone, but by the quality of the data, engineering, operating model and governance behind it. In highly regulated sectors, the path to deploying agentic and other emerging AI capabilities depends on building systems that are reliable, auditable and trustworthy from the outset.
