This session cuts through the hype to provide a pragmatic blueprint for building an AI architecture.

• Learn how to strategically govern LLM usage.
• Discover how build infrastructure for inference cost-effectively and scale when the workload demands it.
• Understand how to abstract complexity and remove execution bottlenecks