EP 532: Inside Multi-Agent AI: Rethinking Enterprise Decisions

In this episode of the Everyday AI Show, host Jordan Wilson interviews Babak Hodjat, CTO of AI at Cognizant, about multi-agent AI systems and their implications for enterprise decision-making. They discuss the definition of AI agents, their evolution, and why they are gaining traction now due to advancements in large language models. Babak explains how Cognizant NeuroAI utilizes agentification to reduce POC creation time and explores the potential for organizations to adopt multi-agent-based structures. The conversation covers the promises and perils of multi-agent environments, emphasizing the importance of responsible and safe implementation, as well as the need for engineering discipline and control. They also touch on the challenges of hallucinations and inconsistencies in AI, the concept of redundancy, and the future of human-agent interaction, highlighting potential use cases and the shift towards a knowledge worker in a box.