As AI models increase in complexity, enterprises face a pivotal choice: leveraging cloud-based AI for unparalleled scalability and centralized processing or adopting edge AI for real-time, on-device performance. This session explores the trade-offs, challenges, and technological advancements in AI infrastructure, providing guidance on when cloud AI’s centralized power is the optimal solution and when edge AI’s localized, low-latency capabilities are better suited to meet demands for speed, security, and operational efficiency.