Retrieval-Augmented Generation (RAG) is changing how enterprises activate AI across their business. In this episode, Ben Kus, CTO of Box, and Meena Ganesh, Box Senior Product Marketing Manager and enterprise AI thought leader, unpack how RAG works, why it reduces hallucinations, and where it fits into the future of generative AI. They explore how RAG bridges the gap between static training data and real-time, business-critical information, while highlighting what every IT leader should know about applying RAG in platforms like Box. Key moments to listen for: (00:22) What makes RAG different from model training (02:10) Why foundation models often lack enterprise context (03:50) How RAG improves accuracy by reducing hallucinations (06:15) How Box applies RAG in practice (07:48) What every CIO needs to know about RAG’s future Social media handles: X: https://www.x.com/box LinkedIn: https://www.linkedin.com/company/box Instagram: https://www.instagram.com/box

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