Scaling agentic AI: From infrastructure to enterprise outcomes

This session will examine how modern AI stacks optimize inference performance, GPU utilization, memory management, and reasoning workloads to support scalable agentic AI applications. Learn how organizations can accelerate time-to-outcome with Kubernetes-based AI factories, composable cloud architectures, and globally distributed inference pipelines designed for performance, sovereignty, and operational efficiency. The presentation will also highlight real-world enterprise use cases across hospitality, healthcare, retail, financial services, and manufacturing, demonstrating how AI-native applications unlock personalized experiences, operational intelligence, and new revenue opportunities at a global scale.