It's easy to build a quick AI prototype using a Large Language Model (LLM). It's difficult to make these prototypes accurate at scale. This session explores the leap from AI proofs-of-concept to reliable, business-critical systems. The session will focus on grounding LLMs in factual knowledge, enhancing reasoning capabilities, and implementing robust fact-checking. Learn how to build an AI Operating System for your business focused on accuracy and reliability. Discover strategies for becoming an AI-first business.