The article argues that the key to successful AI and business intelligence rollouts lies not in the AI models themselves but in the human data analysts who provide vital business context that AI lacks. It introduces the concept of an “AI context engineer”—a data professional who curates and governs the semantic and organizational knowledge that enables AI to deliver accurate and trusted insights, making analysts more strategic and indispensable in the AI-driven future of enterprise analytics.
