+ "long_description": "With [IBM watsonx.ai](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/overview-wx.html?context=wx&audience=wdp#watsonxai), you can build, train, and deploy AI models at scale in a secure, enterprise-grade environment. This deployable architecture provisions watsonx.ai Studio, Runtime, and a key-encrypted project with storage delegation for Object Storage. It also includes optional tools for key encryption and observability, giving you everything you need to manage your watsonx.ai deployment with confidence.\n\nℹ️ This Terraform-based automation is part of a broader suite of IBM-maintained Infrastructure as Code (IaC) assets, each following the naming pattern \"Cloud automation for *servicename*\" and focusing on single IBM Cloud service. These single-service deployable architectures can be used on their own to streamline and automate service deployments through an [IaC approach](https://cloud.ibm.com/docs/secure-enterprise?topic=secure-enterprise-understanding-projects), or assembled together into a broader [automated IaC stack](https://cloud.ibm.com/docs/secure-enterprise?topic=secure-enterprise-config-stack) to automate the deployment of an end-to-end solution architecture. \n\nThis implementation shows how [Terraform IBM Modules](https://github.com/terraform-ibm-modules) are composed to create complete solutions. Each underlying module is a reusable, tested component following IBM Cloud best practices for security, compliance, and operational excellence. Access the complete source code and documentation in the [repository](https://github.com/terraform-ibm-modules/terraform-ibm-watsonx-ai) to customize this architecture or create your own solutions using these modules.",
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