Why AI agents need an AI lakehouse in the modern enterprise

As enterprises move toward an "agentic" model, traditional data architectures are being replaced by AI lakehouses that provide the real-time, semantic context necessary for autonomous agents to reason and act effectively. By unifying fragmented enterprise data into a single, governed layer, these platforms—such as Dynatrace’s Grail—transform massive amounts of raw operational signals into actionable intelligence for both humans and AI agents.