This Everyday AI podcast episode interviews Babak Hodjat, Cognizant's CTO of AI, about multi-agent AI systems in enterprise decision-making. The discussion begins by defining AI agents and contrasting them with LLMs, highlighting that agents possess autonomy and utilize tools. Hodjat then details Cognizant NeuroAI, showcasing its ability to significantly reduce the time needed to create proof-of-concept multi-agent systems. The conversation explores the promise and challenges of multi-agent systems, emphasizing the need for responsible design and redundancy to mitigate risks like hallucinations and error compounding. Ultimately, the episode suggests that businesses should strategically adopt multi-agent AI to improve efficiency and employee experience by automating tasks and streamlining workflows.
