The Critical Role of Context Layers in Enterprise Data Agents

Data and analytics agents have proven ineffective without proper business context, leading organizations to develop context layers that bridge the gap between disparate enterprise data and autonomous AI systems. The article examines why early agent deployments failed and explains how context management is becoming essential infrastructure for AI-driven data analytics.