Breaking silos with collaborative multi-agent AI

Traditional GenAI models often function in isolated silos, limiting their ability to address complex, cross-domain challenges. In this video, Babak Hodjat, CTO of AI at Cognizant, explores the architecture of multi-agent systems (MAS)-a framework where specialized LLM agents collaborate by breaking down tasks, sharing data, and interacting with users and other agents. These interconnected agents form a dynamic, network that adapts to real-time data and ensures optimized, holistic decision-making at scale.
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