 Red Hat is committed to helping customers move from pilot to production with success and ease. My name is Steven Nules and I have over 20 years of experience with analytic and data management platforms in a variety of roles, including developer, engineering manager, product owner, and business owner. I'm currently responsible for Red Hat's AI services business, including AIOps, AI DevSecOps, and the Open Data Hub project, of which I am one of the founders. Red Hat has a long history with containers and Kubernetes, helping customers adopt OpenShift as a platform to modernize their applications. AI and machine learning routines are being embedded into applications across all lines of business and represent some of the most critical workloads being put into production today. Applying DevOps and Kubernetes principles can help reduce the time it takes for you to take a project from idea to production. And that's where Red Hat's products, services, and ecosystem can help complement the teams involved in this process. This is about more than just containerizing the workload. This is about optimizing the platform on which these workloads run. This includes support for the most common AI and machine learning frameworks, as well as support for the state-of-the-art accelerators, such as GPUs. It also includes how we embed analytics in our products and services to help improve the overall customer experience. We are partnering with established and emerging vendors to provide our customers with more capabilities than we have today. Our consulting services can help our customers implement and deploy these platforms so they can start getting results quickly. We have taken all these outputs and applied them in combination with open-source innovation in our Open Data Hub project. This project serves as a reference implementation for how to build an AI's-a-service architecture on OpenShift. If we have piqued your interest, we encourage you to join us in the Open Data Hub community. Thanks for watching.