Shipping a GenAI prototype is easy - keeping it valuable is where most teams fail. In this closing panel, engineering and product leaders share the hard-won lessons behind systems that don’t just launch, but endure. From scaling architectures that stand the test of time to adapting models as business needs evolve, this conversation reveals what separates the early hype from sustained impact. Hear what teams that actually scaled genAI beyond year one would do differently if they were starting today. Key takeaways: → Learn the real-world strategies teams use to keep GenAI systems reliable, cost-effective, and relevant over time. → Discover how to design for adaptability so your models, data, and infrastructure evolve without rebuilding from scratch. → Walk away with the blueprint for building genAI systems that create lasting competitive advantage, not just early wins.