A comprehensive guide to enterprise AI architecture covering the five key layers needed to move AI from pilot to production: infrastructure management, AI engineering lifecycle (MLOps, LLMOps, AgentOps), AI services APIs, governance/control center, and the AI store. The post explains why a single ML layer is insufficient,
Table of contents
The data and infrastructure layers in productionWhy one ML layer isn't enoughThe missing layer between your apps and your LLMsEmbedding governance into architecture, not around itMapping your architecture from pilot to productionCommon questions about enterprise AI architectureSort: