AI Foundation

In practical terms, AI Foundation refers to the underlying data, infrastructure, governance, security, tooling, and organizational capabilities needed to support reliable AI systems. It matters because organizations need clear technical and operational boundaries around AI before they can use it reliably at scale. Related concepts often include governance, integration, monitoring, evaluation, and human oversight.