The rapid advancements in language, vision, and multimodal models have unlocked possibilities we only dreamed about, but turning that innovation into real, scalable solutions requires deliberate adaptation. In this session, I will share how we translate R&D into production systems: from orchestration layers and knowledge engineering to model performance, data-driven learning loops, and compute strategies needed to operate at scale. Whether you’re evolving an experimental prototype or deploying enterprise-level agentic platforms, you’ll gain insights for adapting your architecture, pipeline, and processes to fully harness innovation in the real world.