Updating page titles to Azure AI Content Understanding

Author: goergenj

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

@@ -10,7 +10,7 @@ ms.topic: overview
 ms.date: 05/19/2025
 ---
 
-# Analyzer templates offered with Content Understanding
+# Analyzer templates offered with Azure AI 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

articles/ai-services/content-understanding/concepts/best-practices.md

@@ -10,7 +10,7 @@ ms.topic: overview
 ms.date: 05/19/2025
 ---
 
-# Best practices for Content Understanding
+# Best practices for Azure AI Content Understanding
 
 Azure AI Content Understanding is an innovative Generative AI service designed to facilitate the precise and accurate analysis of extensive data sets. The service processes various content modalities, including documents, images, videos, and audio, transforming them into user-specified output formats.
 

articles/ai-services/content-understanding/concepts/capabilities.md

@@ -11,7 +11,7 @@ ms.date: 05/19/2025
 ms.custom: 2025-understanding-release
 ---
 
-# Content Understanding Capabilities (preview)
+# Azure AI Content Understanding Capabilities (preview)
 
 > [!IMPORTANT]
 >

articles/ai-services/content-understanding/concepts/classifiers.md

@@ -10,7 +10,7 @@ ms.topic: overview
 ms.date: 05/19/2025
 ---
 
-# Content Understanding classifier
+# Azure AI Content Understanding classifier
 
 > [!IMPORTANT]
 >

articles/ai-services/content-understanding/concepts/retrieval-augmented-generation.md

@@ -10,7 +10,7 @@ ms.topic: overview
 ms.date: 05/19/2025
 ms.custom: 2025-understanding-release
 ---
-# Multimodal retrieval-augmented generation with Content Understanding
+# Multimodal retrieval-augmented generation with Azure AI Content Understanding
 
 Retrieval-augmented Generation (**RAG**) is a method that enhances the capabilities of Large Language Models (**LLM**) by integrating data from external knowledge sources. Integrating diverse and current information refines the precision and contextual relevance of the outputs generated by an **LLM**. A key challenge for **RAG** is the efficient extraction and processing of multimodal content—such as documents, images, audio, and video—to ensure accurate retrieval and effective use to bolster the **LLM** responses.
 

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

@@ -10,7 +10,7 @@ ms.topic: overview
 ms.date: 05/19/2025
 ---
 
-# Content Understanding document solutions (preview)
+# Azure AI Content Understanding document solutions (preview)
 
 > [!IMPORTANT]
 >

articles/ai-services/content-understanding/glossary.md

@@ -10,7 +10,7 @@ ms.date: 05/19/2025
 ms.author: lajanuar
 ---
 
-# Content understanding terminologies
+# Azure AI Content Understanding terminologies
 
 | Term | Description |
 |:---------|:----------|

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

@@ -10,7 +10,7 @@ ms.topic: how-to
 ms.date: 05/19/2025
 ---
 
-# Content Understanding image solutions (preview)
+# Azure AI Content Understanding image solutions (preview)
 
 > [!IMPORTANT]
 >

articles/ai-services/content-understanding/language-region-support.md

@@ -11,7 +11,7 @@ ms.custom: references_regions, ignite-2024-understanding-release
 ms.date: 05/19/2025
 ---
 
-# Content Understanding region and language support
+# Azure AI Content Understanding region and language support
 
 Azure AI Content Understanding schemas provide multilingual multimodal processing support. Our language and regional support capabilities enable users to communicate with Content Understanding applications in natural ways and empower global outreach. The following tables list the available region, language, and locale support by modality.
 

articles/ai-services/content-understanding/quickstart/use-ai-foundry.md

@@ -9,7 +9,7 @@ ms.topic: quickstart
 ms.date: 05/19/2025
 ---
 
-# Use Content Understanding in the Azure AI Foundry
+# Use Azure AI Content Understanding in the Azure AI Foundry
 
 [The Azure AI Foundry](https://aka.ms/cu-landing) is a comprehensive platform for developing and deploying generative AI applications and APIs responsibly. Azure AI Content Understanding is a new generative [Azure AI Service](../../what-are-ai-services.md) that analyzes files from varied modalities and extracts structured output in a user-defined field format. Input sources include document, video, image, and audio data. This guide shows you how to build and test a Content Understanding analyzer in the AI Foundry. You can then utilize the extracted data in any app or process you build using a simple REST API call. Content Understanding analyzers are fully customizable. You can create an analyzer by building your own schema from scratch or by using a suggested analyzer template offered to address common scenarios across each data type.