Why Today's Data Architectures Break Down In The Age Of Agentic AI

Lalit Ahuja, a Forbes Councils Member, argues that current data architectures fail under the demands of agentic AI because they were designed for static analytics, not real-time autonomous decision-making. He asserts that organizations must adopt agentic architectures that can process streaming data and execute actions, or risk being left behind as AI agents become the primary drivers of business operations.