Merge pull request #3047 from MicrosoftDocs/main

2/20/2025 11:00 AM IST Publish

Author: PhilKang0704

articles/ai-services/content-safety/overview.md

@@ -135,7 +135,7 @@ See the following list for the input requirements for each feature.
   - Maximum length for grounding sources: 55,000 characters (per API call).
   - Maximum text and query length: 7,500 characters.
 - **Protected material detection APIs**: 
-  - Default maximum length: 1K characters.
+  - Default maximum length: 10K characters.
   - Default minimum length: 110 characters (for scanning LLM completions, not user prompts).
 - **Custom categories (standard) API (preview)**:
   - Maximum inference input length: 1K characters.
@@ -189,6 +189,14 @@ Content Safety features have query rate limits in requests-per-second (RPS) or r
 
 If you need a faster rate, please [contact us](mailto:[email protected]) to request it.
 
+### Encryption
+
+Content Safety encryption protects your data at rest. It encrypts your data as it is written in our datacenters and automatically decrypts it when you access it.
+
+By default, data in Content Safety is encrypted using Microsoft Managed Keys (MMK). However, Content Safety supports both Microsoft Managed Keys (MMK) and Customer Managed Keys (CMK) for encryption. When CMK is selected, users can choose CMK and have the ability to select either user-assigned managed identities (UMI) or system-assigned managed identities (SMI).
+
+
+
 
 ## Contact us
 

articles/ai-services/content-understanding/concepts/analyzer-templates.md

@@ -0,0 +1,65 @@
+---
+title: Azure AI Content Understanding analyzer templates
+titleSuffix: Azure AI services
+description: Learn about Azure AI Content Understanding analyzer templates.
+author: laujan
+ms.author: kabrow
+manager: nitinme
+ms.service: azure-ai-content-understanding
+ms.topic: overview
+ms.date: 02/19/2025
+ms.custom: ignite-2024-understanding-release
+---
+
+# Analyzer templates offered with Content Understanding
+
+Content Understanding analyzer templates give you a head start in developing your Content Understanding solution by allowing you to build your analyzer without creating schemas from scratch.
+There are analyzer templates specific to common scenarios in each modality, such as call center audio analytics and advertising analysis for videos. Templates are also fully customizable, allowing you to adjust any
+fields in the schemas to better fit your needs. Learn more about the analyzer templates offered for each modality by viewing the following tabs.
+
+## Modality templates
+
+The following analyzer templates are available for use in the [Azure AI Foundry Content Understanding experience](https://ai.azure.com/). For more information, *see* [Use Content Understanding in the Azure AI Foundry](../quickstart/use-ai-foundry.md) for a step-by-step guide to creating your first analyzer.
+
+# [Document](#tab/document)
+
+|Template| Description|
+| ----|----|----|
+|Document analysis |Analyze documents to extract text, layout, structured fields, and more.|
+|Text analysis |Analyze texts and extract structured fields.|
+
+   :::image type="content" source="../media/analyzer-template/scenario-template-document.png" alt-text="Screenshot of document analyzer template.":::
+
+# [Image](#tab/image)
+
+|Template| Description|
+| ----|----|----|
+|Image analysis |Analyze images and extract structured fields.|
+|Retail inventory management |Retail inventory management for monitoring of products on shelves.|
+|Defect detection |Identify potential defects in provided images of metal plates.|
+
+   :::image type="content" source="../media/analyzer-template/image-templates.png" alt-text="Screenshot of image analyzer template.":::
+
+# [Audio](#tab/audio)
+
+|Template| Description|
+| ----|----|----|
+|Audio transcription |Transcribe audio recordings.|
+|Conversation summarization |Transcribe conversations and extract summaries.|
+|Post call analytics |Analyze call center conversations to extract transcripts, summaries, sentiment, and more.|
+
+
+   :::image type="content" source="../media/analyzer-template/audio-templates.png" alt-text="Screenshot of audio analyzer template.":::
+
+# [Video](#tab/video)
+
+|Template| Description|
+| ----|----|----|
+|Video shot analysis |Analyze videos to extract transcript and structured fields for each shot.|
+|Media asset management |Extract structured information from marketing videos, news content, broadcast media, television episodes, and film archives.|
+|Advertising |Advertising analysis and moderation.|
+
+
+   :::image type="content" source="../media/analyzer-template/video-templates.png" alt-text="Screenshot of video analyzer template.":::
+
+---

articles/ai-services/content-understanding/document/overview.md

@@ -7,7 +7,7 @@ ms.author: lajanuar
 manager: nitinme
 ms.service: azure-ai-content-understanding
 ms.topic: overview
-ms.date: 01/14/2025
+ms.date: 02/19/2025
 ms.custom: ignite-2024-understanding-release
 ---
 

articles/ai-services/content-understanding/how-to/create-multi-service-resource.md

@@ -6,12 +6,12 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-content-understanding
 ms.topic: how-to
-ms.date: 11/19/2024
+ms.date: 02/19/2025
 ms.custom: ignite-2024-understanding-release, references_regions
 ms.author: lajanuar
 ---
 
-# Create an Azure AI services multi-service resource
+# Create an Azure AI Services multi-service resource
 
 
 To use Content Understanding, you need an Azure AI Services resource. This multi-service resource enables access to multiple Azure AI services with a single set of credentials.
@@ -25,7 +25,7 @@ To use Content Understanding, you need an Azure AI Services resource. This multi
     :::image type="content" source="../media/overview/azure-multi-service-resource.png" alt-text="Screenshot of the multi-service resource page in the Azure portal.":::
 
     > [!IMPORTANT]
-    > Azure provides more than one resource types named Azure AI services. Be sure to select the one that is listed under Azure AI services → Azure AI services with the logo as shown previously.
+    > Azure provides more than one resource type named Azure AI services. Be sure to select the one that is listed under Azure AI services → Azure AI services with the logo as shown previously.
 
 1. Select the **Create** button.
 
@@ -52,3 +52,11 @@ To use the Azure AI Content Understanding service, you must create your Azure AI
 1. Once the validation banner appears, select the **Create** button from the bottom-left corner.
 
 1. After you select create, you'll be redirected to a new page that says **Deployment in progress**. After a few seconds, you'll see a message that says, **Your deployment is complete**.
+ 
+
+## Next steps: Try out Content Understanding
+
+Now that you created your Azure AI Services multi-service resource, you're ready to try out the Content Understanding service.
+
+* Check out this Quickstart to [try Content Understanding in the AI Foundry](../quickstart/use-ai-foundry.md).
+* Ready to go straight to code? [Try the Content Understanding REST API](../quickstart/use-rest-api.md).