​Why AI Without Context Is Just Pattern Matching

Christian Monberg of Zeta Global emphasizes that AI agents, particularly large language models, need contextual understanding to be trusted in enterprise marketing. Without linking AI recommendations to business goals, brand promises, and compliance, decisions remain unexplainable and unaccountable. He advocates for context graphs as structured memory to provide the necessary transparency and defensibility for AI-driven marketing actions.