And the deployed model can be used in many different applications. So for example, we've embedded foundation models in Watson Assistant. For text generation in Assistant, you describe the topic that you want the Assistant to handle. And it generates the corresponding conversational flow. We have an inference stack to scale the serving of the model in applications. It consists of state-of-the-art technology that has been field tested for scalable model serving. This is how Watson X allows us to go from data to a model that is trusted, governed, deployed, and ready to serve, and how we can scale that model to different applications. Once models are deployed, we continuously monitor them and update them in both dot data and in dot-a.