This session dives into the evolving lifecycle of LLMOps, unveiling strategies for teams to move efficiently from prototyping to production. We’ll explore how data scientists, engineers, and end-users can work together seamlessly to unlock the full potential of LLMs, ensuring effective, confident deployment across use cases. Key points to be covered: - Understanding the LLMOps lifecycle: An overview of the LLMOps lifecycle from model design and development to deployment, monitoring, and refinement. - Optimising collaboration: Practical approaches to accelerate collaboration among data scientists, engineers and users. - The what, why, and how of LLMOps: A foundational understanding of LLMOps, why it’s critical for organisations, and how to build and scale efficient operations. - Real-world scenarios: Case studies showcasing success with LLM applications - Challenges in LLMOps and practical solutions: Addressing common obstacles in LLMOps life cycle This presentation is perfect for AI practitioners, developers, and team leaders looking to advance their knowledge of LLMOps. Attendees will gain actionable insights and a framework for enabling collaborative, efficient, and successful LLM deployment from prototype to production.