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.

Why Today's Data Architectures Break Down In The Age Of Agentic AI By Lalit Ahuja, Forbes Councils MemberSource: Forbes Innovation https://www.forbes.com/innovation/ The future belongs to agentic architectures that move past delivering insights and create systems capable of turning those insights into intelligent action. Get AI news in your inbox Daily digest of what matters in AI.