Business leaders desire data driven insights to help improve customer experience. Data engineers, data scientists, and software developers desire a self-service, cloud-like experience to access tools/frameworks, data, and compute resources anywhere to rapidly build, scale, and share results of their projects to accelerate delivery of AI-powered intelligent applications into production. This keynote will provide a brief overview of the AI/ML use cases, required capabilities, and execution challenges. Next we will discuss the value of Hybrid Cloud powered by containers, Kubernetes, and DevOps to help fast track AI/ML projects from pilot to production, and accelerate delivery of intelligent applications. Finally, the session will share real world success stories from various industries globally.