@@ -23,6 +23,7 @@ Language service provides each container with a common configuration framework,
 * Text Analytics for Health
 * Summarization
 * Named Entity Recognition (NER)
+* Personally Identifiable (PII) detection
 
 ## Configuration settings
 

@@ -0,0 +1,147 @@
+---
+title: Use personally identifiable information Docker containers on-premises
+titleSuffix: Azure AI services
+description: Use Docker containers for the Personally Identifiable Information API to determine the language of written text, on-premises.
+#services: cognitive-services
+author: jboback
+manager: nitinme
+ms.service: azure-ai-language
+ms.custom:
+ms.topic: how-to
+ms.date: 10/07/2024
+ms.author: jboback
+keywords: on-premises, Docker, container
+---
+
+# Install and run Personally Identifiable Information (PII) Detection containers
+
+> [!NOTE]
+> The data limits for the PII container are 5120 characters and 10 documents max.
+
+Containers enable you to host the PII detection API on your own infrastructure. If you have security or data governance requirements that can't be fulfilled by calling PII detection remotely, then containers might be a good option.
+
+If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/cognitive-services/) before you begin.
+
+## Prerequisites
+
+You must meet the following prerequisites before using PII detection containers. 
+
+* If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/cognitive-services/).
+* [Docker](https://docs.docker.com/) installed on a host computer. Docker must be configured to allow the containers to connect with and send billing data to Azure. 
+    * On Windows, Docker must also be configured to support Linux containers.
+    * You should have a basic understanding of [Docker concepts](https://docs.docker.com/get-started/overview/). 
+* A <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesTextAnalytics"  title="Create a Language resource"  target="_blank">Language resource </a>
+
+[!INCLUDE [Gathering required parameters](../../../containers/includes/container-gathering-required-parameters.md)]
+
+## Host computer requirements and recommendations
+
+[!INCLUDE [Host Computer requirements](../../../includes/cognitive-services-containers-host-computer.md)]
+
+The following table describes the minimum and recommended specifications for the available container. Each CPU core must be at least 2.6 gigahertz (GHz) or faster.
+
+It is recommended to have a CPU with AVX-512 instruction set, for the best experience (performance and accuracy).
+
+|                     | Minimum host specs     | Recommended host specs |
+|---------------------|------------------------|------------------------|
+| **PII detection**   | 1 core, 2GB memory     | 4 cores, 8GB memory    |
+
+CPU core and memory correspond to the `--cpus` and `--memory` settings, which are used as part of the `docker run` command.
+
+## Get the container image with `docker pull`
+
+The PII detection container image can be found on the `mcr.microsoft.com` container registry syndicate. It resides within the `azure-cognitive-services/textanalytics/` repository and is named `pii`. The fully qualified container image name is, `mcr.microsoft.com/azure-cognitive-services/textanalytics/pii`
+
+ To use the latest version of the container, you can use the `latest` tag, which is for English. You can also find a full list of containers for supported languages using the [tags on the MCR](https://mcr.microsoft.com/product/azure-cognitive-services/textanalytics/pii/tags).
+
+The latest PII detection container is available in several languages. To download the container for the English container, use the command below. 
+
+```
+docker pull mcr.microsoft.com/azure-cognitive-services/textanalytics/pii:latest
+```
+
+[!INCLUDE [Tip for using docker list](../../../includes/cognitive-services-containers-docker-list-tip.md)]
+
+## Run the container with `docker run`
+
+Once the container is on the host computer, use the [docker run](https://docs.docker.com/engine/reference/commandline/run/) command to run the containers. The container will continue to run until you stop it. Replace the placeholders below with your own values:
+
+
+> [!IMPORTANT]
+> * The docker commands in the following sections use the back slash, `\`, as a line continuation character. Replace or remove this based on your host operating system's requirements. 
+> * The `Eula`, `Billing`, and `ApiKey` options must be specified to run the container; otherwise, the container won't start.  For more information, see [Billing](#billing).
+
+To run the PII detection container, execute the following `docker run` command. Replace the placeholders below with your own values:
+
+| Placeholder | Value | Format or example |
+|-------------|-------|---|
+| **{API_KEY}** | The key for your Language resource. You can find it on your resource's **Key and endpoint** page, on the Azure portal. |`xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx`|
+| **{ENDPOINT_URI}** | The endpoint for accessing the API. You can find it on your resource's **Key and endpoint** page, on the Azure portal. | `https://<your-custom-subdomain>.cognitiveservices.azure.com` |
+| **{IMAGE_TAG}** | The image tag representing the language of the container you want to run. Make sure this matches the `docker pull` command you used. | `latest` |
+
+```bash
+docker run --rm -it -p 5000:5000 --memory 8g --cpus 1 \
+mcr.microsoft.com/azure-cognitive-services/textanalytics/pii:{IMAGE_TAG} \
+Eula=accept \
+Billing={ENDPOINT_URI} \
+ApiKey={API_KEY}
+```
+
+This command:
+
+* Runs a *PII detection* container from the container image
+* Allocates one CPU core and 8 gigabytes (GB) of memory
+* Exposes TCP port 5000 and allocates a pseudo-TTY for the container
+* Automatically removes the container after it exits. The container image is still available on the host computer.
+
+[!INCLUDE [Running multiple containers on the same host](../../../includes/cognitive-services-containers-run-multiple-same-host.md)]
+
+## Query the container's prediction endpoint
+
+The container provides REST-based query prediction endpoint APIs.
+
+Use the host, `http://localhost:5000`, for container APIs.
+
+<!-- ## Validate container is running -->
+
+[!INCLUDE [Container's API documentation](../../../includes/cognitive-services-containers-api-documentation.md)]
+
+For information on how to call PII see [our guide](../how-to-call.md).
+
+## Run the container disconnected from the internet
+
+[!INCLUDE [configure-disconnected-container](../../../containers/includes/configure-disconnected-container.md)]
+
+## Stop the container
+
+[!INCLUDE [How to stop the container](../../../includes/cognitive-services-containers-stop.md)]
+
+## Troubleshooting
+
+If you run the container with an output [mount](../../concepts/configure-containers.md#mount-settings) and logging enabled, the container generates log files that are helpful to troubleshoot issues that happen while starting or running the container.
+
+[!INCLUDE [Azure AI services FAQ note](../../../containers/includes/cognitive-services-faq-note.md)]
+
+## Billing
+
+The PII detection containers send billing information to Azure, using a _Language_ resource on your Azure account.
+
+[!INCLUDE [Container's Billing Settings](../../../includes/cognitive-services-containers-how-to-billing-info.md)]
+
+For more information about these options, see [Configure containers](../../concepts/configure-containers.md).
+
+## Summary
+
+In this article, you learned concepts and workflow for downloading, installing, and running PII detection containers. In summary:
+
+* PII detection provides Linux containers for Docker
+* Container images are downloaded from the Microsoft Container Registry (MCR).
+* Container images run in Docker.
+* You must specify billing information when instantiating a container.
+
+> [!IMPORTANT]
+> Azure AI containers are not licensed to run without being connected to Azure for metering. Customers need to enable the containers to communicate billing information with the metering service at all times. Azure AI containers do not send customer data (e.g. text that is being analyzed) to Microsoft.
+
+## Next steps
+
+* See [Configure containers](../../concepts/configure-containers.md) for configuration settings.

@@ -424,6 +424,18 @@ items:
         href: personally-identifiable-information/how-to-call.md
       - name: Call PII for conversations
         href: personally-identifiable-information/how-to-call-for-conversations.md
+      - name: Use containers
+        items:
+          - name: Use Docker containers
+            href: personally-identifiable-information/how-to/use-containers.md
+          - name: Configure containers
+            href: concepts/configure-containers.md
+          - name: Use container instances
+            href: ../containers/azure-container-instance-recipe.md?context=/azure/ai-services/language-service/context/context
+          - name: Use containers in disconnected environments
+            href: ../containers/disconnected-containers.md
+          - name: Azure AI containers overview
+            href: ../cognitive-services-container-support.md
     - name: Concepts
       items:
       - name: Recognized entity categories

@@ -16,8 +16,6 @@ author: eric-urban
 
 # Connect AI services to your hub in Azure AI Studio
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
-
 You can try out AI services for free in Azure AI Studio as described in the [getting started with AI services](get-started.md) article. This article describes how to use AI services connections to do more via Azure AI Studio, SDKs, and APIs. 
 
 After you create a hub with AI services, you can use the AI services connection via the AI Studio UI, APIs, and SDKs. For example, you can try out AI services via **Home** > **AI Services** in the AI Studio UI as shown here.

@@ -15,8 +15,6 @@ author: eric-urban
 
 # Get started with AI services in Azure AI Studio
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
-
 This article describes how to get started with AI services in [Azure AI Studio](https://ai.azure.com). You can connect to AI services in Azure AI Studio to use AI capabilities such as Azure OpenAI, Speech, Language, Translator, Vision, Document Intelligence, and Content Safety.
 
 Go to the **Home** page and then select **AI Services** from the left pane to explore these services.

@@ -9,15 +9,13 @@ ms.custom:
   - build-2024
 ms.topic: conceptual
 ms.date: 5/21/2024
-ms.reviewer: eur
-ms.author: eur
-author: eric-urban
+ms.reviewer: sgilley
+ms.author: sgilley
+author: sdgilley
 ---
 
 # Connections in Azure AI Studio
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
-
 Connections in Azure AI Studio are a way to authenticate and consume both Microsoft and non-Microsoft resources within your AI Studio projects. For example, connections can be used for prompt flow, training data, and deployments. [Connections can be created](../how-to/connections-add.md) exclusively for one project or shared with all projects in the same hub. 
 
 ## Connections to Azure AI services

@@ -16,8 +16,6 @@ author: PatrickFarley
 
 # Content filtering in Azure AI Studio
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
-
 Azure AI Studio includes a content filtering system that works alongside core models and DALL-E image generation models.
 
 > [!IMPORTANT]

@@ -8,9 +8,9 @@ ms.custom:
   - build-2024
 ms.topic: conceptual
 ms.date: 5/29/2024
-ms.reviewer: eur
-ms.author: eur
-author: eric-urban
+ms.reviewer: sgilley
+ms.author: sgilley
+author: sdgilley
 ---
 
 # Fine-tune models in Azure AI Studio

@@ -9,15 +9,13 @@ ms.custom:
   - build-2024
 ms.topic: conceptual
 ms.date: 5/21/2024
-ms.reviewer: eur
-ms.author: eur
-author: eric-urban
+ms.reviewer: sgilley
+ms.author: sgilley
+author: sdgilley
 ---
 
 # Retrieval augmented generation and indexes
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
-
 This article talks about the importance and need for Retrieval Augmented Generation (RAG) and index in generative AI. 
 
 ## What is RAG?

@@ -9,9 +9,9 @@ metadata:
     - build-2024
   ms.topic: faq
   ms.date: 5/21/2024
-  ms.reviewer: eur
-  ms.author: eur
-  author: eric-urban
+  ms.reviewer: sgilley
+  ms.author: sgilley
+  author: sdgilley
 title: Azure AI frequently asked questions
 summary: |
   If you can't find answers to your questions in this document, and still need help check the [Azure AI services support options guide](../ai-services/cognitive-services-support-options.md?context=/azure/ai-services/openai/context/context). Azure OpenAI is part of Azure AI services.

@@ -33,7 +33,7 @@ Here's a table of some of the available connection types in Azure AI Studio. The
 | Azure Blob Storage | ✓ | Azure Blob Storage is a cloud storage solution for storing unstructured data like documents, images, videos, and application installers. |
 | Azure Data Lake Storage Gen 2 | ✓ | Azure Data Lake Storage Gen2 is a set of capabilities dedicated to big data analytics, built on Azure Blob storage. |
 | Azure Content Safety | ✓ | Azure AI Content Safety is a service that detects potentially unsafe content in text, images, and videos. |
-| Azure OpenAI || Azure OpenAI is a service that provides access to the OpenAI GPT-3 model. |
+| Azure OpenAI || Azure OpenAI is a service that provides access to OpenAI's models including the GPT-4o, GPT-4o mini, GPT-4, GPT-4 Turbo with Vision, GPT-3.5-Turbo, DALLE-3 and Embeddings model series with the security and enterprise capabilities of Azure. |
 | Serverless Model | ✓ | Serverless Model connections allow you to [serverless API deployment](deploy-models-serverless.md). |
 | Microsoft OneLake | ✓ | Microsoft OneLake provides open access to all of your Fabric items through Azure Data Lake Storage (ADLS) Gen2 APIs and SDKs.<br/><br/>In Azure AI Studio you can set up a connection to your OneLake data using a OneLake URI. You can find the information that Azure AI Studio requires to construct a __OneLake Artifact URL__ (workspace and item GUIDs) in the URL on the Fabric portal. For information about the URI syntax, see [Connecting to Microsoft OneLake](/fabric/onelake/onelake-access-api). |
 | API key || API Key connections handle authentication to your specified target on an individual basis. For example, you can use this connection with the SerpApi tool in prompt flow.  |

@@ -8,7 +8,7 @@ ms.custom:
   - build-2024
 ms.topic: how-to
 ms.date: 5/21/2024
-ms.reviewer: eur
+ms.reviewer: sgilley
 ms.author: pafarley
 author: PatrickFarley
 ---

@@ -7,8 +7,8 @@ ms.service: azure-ai-studio
 ms.topic: how-to
 ms.date: 5/21/2024
 ms.reviewer: dantaylo
-ms.author: eur
-author: eric-urban
+ms.author: sgilley
+author: sdgilley
 ---
 
 # How to get started with an AI template

@@ -8,8 +8,8 @@ ms.custom: build-2024, devx-track-azurecli
 ms.topic: how-to
 ms.date: 5/21/2024
 ms.reviewer: dantaylo
-ms.author: eur
-author: eric-urban
+ms.author: sgilley
+author: sdgilley
 ---
 
 # Create a hub using the Azure Machine Learning SDK and CLI

@@ -9,8 +9,8 @@ ms.custom:
 ms.topic: how-to
 ms.date: 5/21/2024
 ms.reviewer: dantaylo
-ms.author: eur
-author: eric-urban
+ms.author: sgilley
+author: sdgilley
 ---
 
 # How to build and consume an index using code

@@ -7,8 +7,8 @@ ms.service: azure-ai-studio
 ms.topic: how-to
 ms.date: 9/14/2024
 ms.reviewer: fasantia
-ms.author: eur
-author: eric-urban
+ms.author: sgilley
+author: sdgilley
 ---
 
 # Develop applications with LlamaIndex and Azure AI studio

@@ -9,8 +9,8 @@ ms.custom:
 ms.topic: overview
 ms.date: 8/9/2024
 ms.reviewer: dantaylo
-ms.author: eur
-author: eric-urban
+ms.author: sgilley
+author: sdgilley
 ---
 
 # Overview of the Azure AI SDKs

@@ -9,8 +9,8 @@ ms.custom:
 ms.topic: how-to
 ms.date: 5/21/2024
 ms.reviewer: chenlujiao
-ms.author: eur
-author: eric-urban
+ms.author: sgilley
+author: sdgilley
 ---
 
 # How to trace your application with prompt flow SDK | Azure AI Studio

@@ -9,8 +9,8 @@ ms.custom:
 ms.topic: how-to
 ms.date: 5/21/2024
 ms.reviewer: jcioffi
-ms.author: eur
-author: eric-urban
+ms.author: sgilley
+author: sdgilley
 ---
 
 # Model benchmarks in Azure AI Studio

@@ -1,9 +1,9 @@
 ---
 title: include file
 description: include file
-author: eur
-ms.reviewer: eur
-ms.author: eric-urban
+author: sdgilley
+ms.reviewer: sgilley
+ms.author: sgilley
 ms.service: azure-ai-studio
 ms.topic: include
 ms.date: 5/21/2024

@@ -1,9 +1,9 @@
 ---
 title: include file
 description: include file
-author: eur
-ms.reviewer: eur
-ms.author: eric-urban
+author: sdgilley
+ms.reviewer: sgilley
+ms.author: sgilley
 ms.service: azure-ai-studio
 ms.topic: include
 ms.date: 5/21/2024

@@ -1,9 +1,9 @@
 ---
 title: include file
 description: include file
-author: eur
-ms.reviewer: eur
-ms.author: eric-urban
+author: sdgilley
+ms.reviewer: sgilley
+ms.author: sgilley
 ms.service: azure-ai-studio
 ms.topic: include
 ms.date: 5/21/2024

@@ -1,9 +1,9 @@
 ---
 title: include file
 description: include file
-author: eur
-ms.reviewer: eur
-ms.author: eric-urban
+author: sdgilley
+ms.reviewer: sgilley
+ms.author: sgilley
 ms.service: azure-ai-studio
 ms.topic: include
 ms.date: 5/21/2024

@@ -1,9 +1,9 @@
 ---
 title: include file
 description: include file
-author: eur
-ms.reviewer: eur
-ms.author: eric-urban
+author: sdgilley
+ms.reviewer: sgilley
+ms.author: sgilley
 ms.service: azure-ai-studio
 ms.topic: include
 ms.date: 8/8/2024

@@ -1,11 +1,11 @@
 ---
 title: include file
 description: include file
-author: eric-urban
+author: sdgilley
 ms.service: azure-ai-studio
 ms.topic: include
 ms.date: 5/21/2024
-ms.author: eur
+ms.author: sgilley
 ms.custom: include file, build-2024
 ---
 

@@ -3,7 +3,7 @@ title: include file
 description: include file
 author: sdgilley
 ms.reviewer: sgilley
-ms.author: esgiley
+ms.author: sgilley
 ms.service: azure-ai-studio
 ms.topic: include
 ms.date: 08/29/2024

@@ -3,7 +3,7 @@ title: include file
 description: include file
 author: sdgilley
 ms.reviewer: sgilley
-ms.author: esgiley
+ms.author: sgilley
 ms.service: azure-ai-studio
 ms.topic: include
 ms.date: 08/29/2024

@@ -10,9 +10,9 @@ metadata:
     - build-2024
     - copilot-learning-hub
   ms.topic: landing-page
-  ms.reviewer: eur
-  ms.author: eur
-  author: eric-urban
+  ms.reviewer: sgilley
+  ms.author: sgilley
+  author: sdgilley
   ms.date: 5/21/2024
 # linkListType: architecture | concept | deploy | download | get-started | how-to-guide | learn | overview | quickstart | reference | tutorial | video | whats-new
 

@@ -8,8 +8,8 @@ ms.custom: build-2024, devx-track-azurecli, devx-track-python
 ms.topic: how-to
 ms.date: 8/6/2024
 ms.reviewer: dantaylo
-ms.author: eur
-author: eric-urban
+ms.author: sgilley
+author: sdgilley
 ---
 
 # Build a custom chat app in Python using the prompt flow SDK

@@ -8,9 +8,9 @@ ms.custom:
   - build-2024
 ms.topic: tutorial
 ms.date: 5/21/2024
-ms.reviewer: eur
-ms.author: eur
-author: eric-urban
+ms.reviewer: sgilley
+ms.author: sgilley
+author: sdgilley
 ---
 
 # Quickstart: Create a project and use the chat playground in Azure AI Studio

@@ -7,8 +7,8 @@ ms.service: azure-ai-studio
 ms.topic: conceptual
 ms.date: 5/21/2024
 ms.reviewer: deeikele
-ms.author: eur
-author: eric-urban
+ms.author: sgilley
+author: sdgilley
 ms.custom: references_regions, build-2024
 ---
 

@@ -9,7 +9,7 @@ ms.custom:
   - build-2024
 ms.topic: tutorial
 ms.date: 5/21/2024
-ms.reviewer: eur
+ms.reviewer: sgilley
 ms.author: aahi
 author: aahill
 ---

@@ -10,8 +10,8 @@ ms.custom:
 ms.topic: quickstart
 ms.date: 8/9/2024
 ms.reviewer: ailsaleen
-ms.author: eur
-author: eric-urban
+ms.author: sgilley
+author: sdgilley
 ---
 
 # QuickStart: Get started using AI Studio with a screen reader

@@ -7,9 +7,9 @@ keywords: Azure AI services, cognitive
 ms.service: azure-ai-studio
 ms.topic: overview
 ms.date: 5/21/2024
-ms.reviewer: eur
-ms.author: eur
-author: eric-urban
+ms.reviewer: sgilley
+ms.author: sgilley
+author: sdgilley
 ms.custom: ignite-2023, build-2024
 ---