The importance of robust Large Language Model Operations (LLMOps) practices is becoming increasingly apparent as generative AI continues to revolutionize the way we work. Despite media hype, enterprise adoption of GenAI is still in its early stages, with startups and tech-forward companies leading the charge. More traditional enterprises are taking a cautious but curious approach, presenting an opportunity for innovation within larger organizations. The panel discussion highlighted several key factors contributing to the varying rates of GenAI adoption across industries, including the need for well-defined projects, task-specific models, cost optimization, robust evaluation frameworks, and high-quality data. As enterprises productionize GenAI, these strategies are crucial to ensuring efficient, cost-effective, and tailored solutions for specific business problems, ultimately harnessing the full potential of generative AI while managing costs and ensuring reliability.