Everyone can build a GenAI demo. Few can make it scale without breaking. In this candid panel, hear from engineering leaders who’ve taken GenAI systems from fragile proofs-of-concept to production environments serving millions. They’ll unpack what really happens when you leave the lab and how to handle unstable APIs, monitor emergent behavior, control costs, and ship with confidence. You’ll leave knowing exactly what not to do, and how to architect for scale, reliability, and real business impact. Key Takeaways: → Get the blueprint for scaling genAI systems safely and efficiently across complex infrastructure. → Learn the failure patterns that derail most genAI launches and how to avoid them. → See how top engineering teams operationalize feedback, observability, and cost control in live environments.