Merge pull request #54370 from rcaper/rcaper-feature-branch-sustainability-freshness

freshness updates

Author: AnnaMHuff

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

@@ -4,7 +4,7 @@ title: Introduction
 metadata:
   title: Introduction
   description: "Introduction"
-  ms.date: 08/16/2024
+  ms.date: 04/22/2026
   author: wwlpublish
   ms.author: rcaper
   ms.topic: unit

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

@@ -4,7 +4,7 @@ title: AI in retail
 metadata:
   title: AI in retail
   description: "AI in retail"
-  ms.date: 08/16/2024
+  ms.date: 04/22/2026
   author: wwlpublish
   ms.author: rcaper
   ms.topic: unit

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

@@ -4,7 +4,7 @@ title: Goals and challenges in retail
 metadata:
   title: Goals and challenges in retail
   description: "Goals and challenges in retail"
-  ms.date: 08/16/2024
+  ms.date: 04/22/2026
   author: wwlpublish
   ms.author: rcaper
   ms.topic: unit

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

@@ -4,7 +4,7 @@ title: Opportunities for AI in retail
 metadata:
   title: Opportunities for AI in retail
   description: "Opportunities for AI in retail"
-  ms.date: 08/16/2024
+  ms.date: 04/22/2026
   author: wwlpublish
   ms.author: rcaper
   ms.topic: unit

learn-pr/wwl-data-ai/define-microsoft-ai-strategy-retail/4-discover-ai-improves-shopping-experiences.yml

@@ -4,7 +4,7 @@ title: Discover how Microsoft AI improves shopping experiences
 metadata:
   title: Discover how Microsoft AI improves shopping experiences
   description: "Discover how Microsoft AI improves shopping experiences"
-  ms.date: 08/16/2024
+  ms.date: 04/22/2026
   author: wwlpublish
   ms.author: rcaper
   ms.topic: unit

learn-pr/wwl-data-ai/define-microsoft-ai-strategy-retail/5-discover-potential-car-selling.yml

@@ -4,7 +4,7 @@ title: Discover the potential of Azure OpenAI Service in car selling – A CarMa
 metadata:
   title: Discover the potential of Azure OpenAI Service in car selling – A CarMax success story
   description: "Discover the potential of Azure OpenAI Service in car selling – A CarMax success story"
-  ms.date: 08/16/2024
+  ms.date: 04/22/2026
   author: wwlpublish
   ms.author: rcaper
   ms.topic: unit

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

@@ -4,7 +4,7 @@ title: Module assessment
 metadata:
   title: Module assessment
   description: "Knowledge check"
-  ms.date: 08/16/2024
+  ms.date: 04/22/2026
   author: wwlpublish
   ms.author: rcaper
   ms.topic: unit
@@ -21,7 +21,7 @@ quiz:
     choices:
     - content: "Incorporating AI into offline shopping experiences."
       isCorrect: true
-      explanation: "Correct. A major challenge for AI solutions in retail is that most purchased still occur in-store."
+      explanation: "Correct. A major challenge for AI solutions in retail is that most purchases still occur in-store."
     - content: "Recruiting employees with IT skills to work in store."
       isCorrect: false
       explanation: "Incorrect. IT skills aren't a common challenge when recruiting retail employees."
@@ -49,4 +49,4 @@ quiz:
       explanation: "Incorrect. Machine learning doesn't benefit a retail organization through cloud-enabled apps."
     - content: "By helping optimize stock management through predictive analytics."
       isCorrect: true
-      explanation: "Correct. Anticipating inventory and supply chain management  is helpful to anticipate inventory and sales needs."
+      explanation: "Correct. Anticipating inventory and supply chain management  is helpful to anticipate inventory and sales needs."

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

@@ -4,7 +4,7 @@ title: Summary
 metadata:
   title: Summary
   description: "Summary"
-  ms.date: 08/16/2024
+  ms.date: 04/22/2026
   author: wwlpublish
   ms.author: rcaper
   ms.topic: unit

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

@@ -17,9 +17,9 @@ Now that you reviewed this module, you should be able to:
 * To learn more about how Microsoft infused AI into Microsoft 365, read [AI in Microsoft 365](https://aka.ms/everydayai).
 * To learn more about our intelligent business applications, visit our [Dynamics 365 AI homepage](https://dynamics.microsoft.com/ai/overview/).
 * To learn more about our low-code tools in Power Platform, visit our [Power Platform website](https://powerplatform.microsoft.com/).
-* 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/foundry/foundry-models/concepts/models-sold-directly-by-azure?tabs=global-standard-aoai%2Cglobal-standard&pivots=azure-openai).
 * 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 Foundry Tools](/azure/cognitive-services/).
+* To learn more about all the prebuilt AI models available at Foundry Tools, read our [technical documentation on Foundry Tools](/azure/ai-foundry/).
 * To learn more about the services included in Azure Machine Learning, visit our [Azure Machine Learning website](https://azure.microsoft.com/products/machine-learning/).
 
 ## References

learn-pr/wwl-data-ai/define-microsoft-ai-strategy-retail/index.yml

@@ -3,7 +3,7 @@ uid: learn.wwl.define-microsoft-ai-strategy-retail
 metadata:
   title: Define a Microsoft AI strategy to create business value in retail
   description: "Discover AI use cases and scenarios for retail. Get familiar with Microsoft AI tools and services for retail. Learn from real success stories."
-  ms.date: 08/16/2024
+  ms.date: 04/22/2026
   author: wwlpublish
   ms.author: rcaper
   ms.topic: module
@@ -14,9 +14,9 @@ metadata:
 title: Define a Microsoft AI strategy to create business value in retail
 summary: This module is designed to help retail professionals adopt Microsoft AI solutions. It discusses common use cases and real customer stories.
 abstract: |
-  -   Identify goals and challenges for sustainability
+  -   Identify goals and challenges for retail
 
-  -   Identify opportunities for AI in sustainability
+  -   Identify opportunities for AI in retail
 prerequisites: |
   -   Basic understanding of AI concepts.