Merge pull request #2 from rcaper/copilot/define-microsoft-ai-strategy-manufacturing

Drift review: Define a Microsoft AI strategy to create business value in manufacturing

Author: rcaper

learn-pr/wwl-data-ai/define-microsoft-ai-strategy-manufacturing/1-introduction.yml

@@ -4,7 +4,7 @@ title: Introduction
 metadata:
   title: Introduction
   description: "Introduction"
-  ms.date: 08/12/2024
+  ms.date: 04/20/2025
   author: wwlpublish
   ms.author: rcaper
   ms.topic: unit

learn-pr/wwl-data-ai/define-microsoft-ai-strategy-manufacturing/1b-ai-manufacturing.yml

@@ -4,7 +4,7 @@ title: AI and manufacturing
 metadata:
   title: AI and manufacturing
   description: "AI and manufacturing"
-  ms.date: 08/12/2024
+  ms.date: 04/20/2025
   author: wwlpublish
   ms.author: rcaper
   ms.topic: unit

learn-pr/wwl-data-ai/define-microsoft-ai-strategy-manufacturing/2-goals-challenges-manufacturing.yml

@@ -4,7 +4,7 @@ title: Goals and challenges in manufacturing
 metadata:
   title: Goals and challenges in manufacturing
   description: "Goals and challenges in manufacturing"
-  ms.date: 08/12/2024
+  ms.date: 04/20/2025
   author: wwlpublish
   ms.author: rcaper
   ms.topic: unit

learn-pr/wwl-data-ai/define-microsoft-ai-strategy-manufacturing/3-opportunities-ai-manufacturing.yml

@@ -4,7 +4,7 @@ title: Opportunities for AI in manufacturing
 metadata:
   title: Opportunities for AI in manufacturing
   description: "Opportunities for AI in manufacturing"
-  ms.date: 08/12/2024
+  ms.date: 04/20/2025
   author: wwlpublish
   ms.author: rcaper
   ms.topic: unit

learn-pr/wwl-data-ai/define-microsoft-ai-strategy-manufacturing/4-microsoft-ai-use-cases.yml

@@ -4,7 +4,7 @@ title: Microsoft AI technology for manufacturing use cases
 metadata:
   title: Microsoft AI technology for manufacturing use cases
   description: "Microsoft AI technology for manufacturing use cases"
-  ms.date: 08/12/2024
+  ms.date: 04/20/2025
   author: wwlpublish
   ms.author: rcaper
   ms.topic: unit

learn-pr/wwl-data-ai/define-microsoft-ai-strategy-manufacturing/5-discover-ai-cuts-development-time.yml

@@ -4,7 +4,7 @@ title: Discover how Microsoft Foundry cuts development time – A Siemens succes
 metadata:
   title: Discover how Microsoft Foundry cuts development time – A Siemens success story
   description: "Discover how Microsoft Foundry cuts development time – A Siemens success story"
-  ms.date: 08/12/2024
+  ms.date: 04/20/2025
   author: wwlpublish
   ms.author: rcaper
   ms.topic: unit

learn-pr/wwl-data-ai/define-microsoft-ai-strategy-manufacturing/6-knowledge-check.yml

@@ -4,7 +4,7 @@ title: Module assessment
 metadata:
   title: Module assessment
   description: "Knowledge check"
-  ms.date: 08/12/2024
+  ms.date: 04/20/2025
   author: wwlpublish
   ms.author: rcaper
   ms.topic: unit

learn-pr/wwl-data-ai/define-microsoft-ai-strategy-manufacturing/7-summary.yml

@@ -4,7 +4,7 @@ title: Summary
 metadata:
   title: Summary
   description: "Summary"
-  ms.date: 08/12/2024
+  ms.date: 04/20/2025
   author: wwlpublish
   ms.author: rcaper
   ms.topic: unit

learn-pr/wwl-data-ai/define-microsoft-ai-strategy-manufacturing/includes/4-microsoft-ai-use-cases.md

@@ -19,7 +19,7 @@ The catalog of Foundry Tools is large, but some are especially pertinent in manu
 * **Azure Vision and Custom Vision**: These two services deliver computer vision models, AI models that detect or classify objects of interest in images or video. This technology is key in manufacturing use cases such as anomaly detection.
 * **Document Intelligence**: The AI models contained in this service enable manufacturers to extract information from your documentation. This tool is most useful in scenarios involving handling printed or handwritten technical datasheets, forms, invoices, ID cards, and other complex layouts. It can play an important role in achieving better management of your suppliers.
 
-## Azure AI Studio
+## Azure AI Foundry
 
 Among the prebuilt models included in Microsoft Foundry, Azure OpenAI Service stands out as an especially powerful tool. Many of the latest AI use cases involve **copilot assistants and generative AI solutions**. Azure OpenAI Service is a Microsoft tool to develop these kinds of applications since it enables you to use LLMs such as GPT, Embeddings, DALL-E, and Whisper.
 

learn-pr/wwl-data-ai/define-microsoft-ai-strategy-manufacturing/includes/7-summary.md

@@ -15,9 +15,9 @@ After this module, you should:
 * To learn more about what Microsoft can do for your manufacturing projects, visit our [Microsoft Cloud for Manufacturing website](https://www.microsoft.com/industry/manufacturing/microsoft-cloud-for-manufacturing).
 * Stay up to date with Microsoft AI. Visit our [AI website](https://www.microsoft.com/ai).
 * To learn more about Microsoft commitment to responsible AI, visit our [Responsible AI website](https://www.microsoft.com/ai/responsible-ai).
-* To learn more about the models delivered by Azure OpenAI Service, read our [technical documentation on Azure OpenAI Service](/azure/cognitive-services/openai/concepts/models).
+* To learn more about the models delivered by Azure OpenAI Service, read our [technical documentation on Azure OpenAI Service](/azure/ai-services/openai/concepts/models).
 * To learn more about privacy and security in Azure OpenAI Service, read our [legal documentation on Azure OpenAI Service](/legal/cognitive-services/openai/data-privacy).
-* To learn more about all the prebuilt AI models available at Foundry Tools, read our [technical documentation on AI Services](/azure/cognitive-services/).
+* To learn more about all the prebuilt AI models available at Foundry Tools, read our [technical documentation on AI Services](/azure/ai-services/).
 * To learn more about the services included in Azure Machine Learning, visit our [Azure Machine Learning website](https://azure.microsoft.com/products/machine-learning/).
 * To learn more about what you can do in Microsoft Fabric, visit our [Microsoft Fabric website](https://www.microsoft.com/microsoft-fabric).