Merge pull request #49153 from wwlpublish/cefc391c1290b3f82f142fa762bfce8a912429ea73d022218cfddf02dcd488b0-live

 Modules/M02-create-business-value

Author: PMEds28

learn-pr/wwl-data-ai/create-business-value/1-introduction.yml

@@ -6,12 +6,12 @@ metadata:
   prefetch-feature-rollout: true
   title: Introduction
   description: "Introduction"
-  ms.date: 08/12/2024
+  ms.date: 02/13/2025
   author: wwlpublish
   ms.author: rcaper
   ms.topic: unit
   ms.custom:
   - N/A
 durationInMinutes: 1
 content: |
-  [!include[](includes/1-introduction.md)]
+  [!include[](includes/1-introduction.md)]

learn-pr/wwl-data-ai/create-business-value/2-define-ai-strategy-create-business-value.yml

@@ -6,12 +6,12 @@ metadata:
   prefetch-feature-rollout: true
   title: Create business value with an AI strategy
   description: "Create business value with an AI strategy"
-  ms.date: 08/12/2024
+  ms.date: 02/13/2025
   author: wwlpublish
   ms.author: rcaper
   ms.topic: unit
   ms.custom:
   - N/A
 durationInMinutes: 4
 content: |
-  [!include[](includes/2-define-ai-strategy-create-business-value.md)]
+  [!include[](includes/2-define-ai-strategy-create-business-value.md)]

learn-pr/wwl-data-ai/create-business-value/3-discover-characteristics-foster-ai-ready-culture.yml

@@ -6,12 +6,12 @@ metadata:
   prefetch-feature-rollout: true
   title: Discover the characteristics that foster an AI-ready culture
   description: "Discover the characteristics that foster an AI-ready culture"
-  ms.date: 08/12/2024
+  ms.date: 02/13/2025
   author: wwlpublish
   ms.author: rcaper
   ms.topic: unit
   ms.custom:
   - N/A
 durationInMinutes: 8
 content: |
-  [!include[](includes/3-discover-characteristics-foster-ai-ready-culture.md)]
+  [!include[](includes/3-discover-characteristics-foster-ai-ready-culture.md)]

learn-pr/wwl-data-ai/create-business-value/4-discover-ai-success.yml

@@ -6,12 +6,12 @@ metadata:
   prefetch-feature-rollout: true
   title: Discover the path to AI success
   description: "Discover the path to AI success"
-  ms.date: 08/12/2024
+  ms.date: 02/13/2025
   author: wwlpublish
   ms.author: rcaper
   ms.topic: unit
   ms.custom:
   - N/A
 durationInMinutes: 10
 content: |
-  [!include[](includes/4-discover-ai-success.md)]
+  [!include[](includes/4-discover-ai-success.md)]

learn-pr/wwl-data-ai/create-business-value/5-knowledge-check.yml

@@ -6,7 +6,7 @@ metadata:
   prefetch-feature-rollout: true
   title: Knowledge check
   description: "Knowledge check"
-  ms.date: 08/12/2024
+  ms.date: 02/13/2025
   author: wwlpublish
   ms.author: rcaper
   ms.topic: unit
@@ -50,4 +50,4 @@ quiz:
       explanation: "Incorrect. Experimentation belongs to the exploration stage, the first stage of AI value creation."
     - content: "Realizing repeatable and measurable value across the organization."
       isCorrect: false
-      explanation: "Incorrect. Realizing consistent AI value across the organization is the last stage of AI value creation and comes after formalization and scaling."
+      explanation: "Incorrect. Realizing consistent AI value across the organization is the last stage of AI value creation and comes after formalization and scaling."

learn-pr/wwl-data-ai/create-business-value/6-summary.yml

@@ -6,12 +6,12 @@ metadata:
   prefetch-feature-rollout: true
   title: Summary
   description: "Summary"
-  ms.date: 08/12/2024
+  ms.date: 02/13/2025
   author: wwlpublish
   ms.author: rcaper
   ms.topic: unit
   ms.custom:
   - N/A
 durationInMinutes: 2
 content: |
-  [!include[](includes/6-summary.md)]
+  [!include[](includes/6-summary.md)]

learn-pr/wwl-data-ai/create-business-value/includes/1-introduction.md

@@ -2,4 +2,4 @@ AI is changing business and how companies operate and drive value. To succeed, a
 
 AI helps organizations transform digitally by creating new experiences infused with capabilities to make them smart, fast, and helpful. To harness this potential, organizations must be ready to create, own, and operate AI-based systems. A successful AI strategy must consider cultural issues as well as business ones. Becoming an AI-ready organization requires a fundamental transformation in how you do things, how employees relate to each other, what skills they have, and what processes and principles guide your behaviors.
 
-Let’s start by defining an AI strategy to enable your organization to adopt AI in a meaningful, successful way.
+Let’s start by defining an AI strategy to enable your organization to adopt AI in a meaningful and successful way.

learn-pr/wwl-data-ai/create-business-value/includes/3-discover-characteristics-foster-ai-ready-culture.md

@@ -10,19 +10,20 @@ Of course, this is only possible with strong leadership that drives change by bo
 
 ## Data-driven
 
+
 ![Photograph showing sharing data across your organization and adopting rigorous data practices.](../media/data-photo.jpg)
 
-Any good AI system relies on having the best and most complete data and being able to reason over your entire data estate. In other words, it depends on a matter of data access and integrity.
+Any good AI system relies on having the best and most complete data and being able to reason over your entire data estate. In other words, it depends on a matter of integrity and access.
 
-#### Data access 
+### Access
 
 Due to data ownership or storage issues, most organizations generate, organize, and use data in a siloed manner. While each department may have a good view of the data coming from their own processes, they may lack other information that could be relevant to their operations.
 
 For instance, a sales department might not have a complete view of a customer, because they're missing pieces of data, like e-commerce activity and payment status, which are controlled by other departments. In this case, a seller may make the mistake of trying to sell a customer an insurance policy that they already purchased through an online channel.
 
 By sharing data across the organization, the sum becomes greater than the parts. It's no longer each piece of data that matters, but what that data adds up to: a unified view of the customer. With that unified view, you can make better decisions, act more effectively, and provide a better customer experience. Your data estate must be accessible to be useful, whether it's on-premises, in the cloud, or on the edge.
 
-#### Data integrity
+### Integrity
 
 The quality of the data is also key. In this example, if the customer data was riddled with errors, like inaccurate contact information, irrelevant data, or duplication, it wouldn't matter that the data had been unified; the seller could still make significant mistakes in interacting with the customer.
 
@@ -59,7 +60,7 @@ Like a Corporate Vice President of Strategic Missions and Technologies at Micros
 These questions demand for organizations to think about their AI principles and how to ensure them throughout the company. To ensure responsible AI practices, specific planning is required that should include an AI governance model. In this way, you can deliver transparent, explainable, and ethical AI. The module [Embrace responsible AI principles and practices](/training/modules/embrace-responsible-ai-principles-practices) provides a more detailed discussion of the implications of responsible AI for business.
 
 >[!TIP]
->Take a moment to think of how you might determine your organization’s readiness for AI. \
+>Take a moment to think of how you might determine your organization’s readiness for AI.
 >![Photograph showing people working and talking around a table.](../media/2-reflection.jpg)
 
 Now that you understand the principles that enable organization to embrace AI, let's assess whether your organization is ready and how it should evolve.

learn-pr/wwl-data-ai/create-business-value/includes/4-discover-ai-success.md

@@ -27,7 +27,7 @@ This whitepaper includes a model of the **stages of AI success**. This five-tier
 
 5. **Realizing stage:** At this final stage, AI achieves consistent AI value across the organization and in multiple business units.
 
-![Diagram of the stages of AI success: exploring, planning, formalizing, scaling, and realizing.](../media/4-discover-apply-ai-maturity-model-assessment-1.png)
+![Photograph showing the stages of AI success: exploring, planning, formalizing, scaling, and realizing.](../media/4-discover-apply-ai-maturity-model-assessment-1.png)
 
 However, enormous AI acceleration took place in the last few years. Great breakthroughs in generative AI and prebuilt models, such as the large language models (LLM) offered by Azure AI Studio, are disrupting the field. This new context has two major implications:
 
@@ -36,7 +36,7 @@ However, enormous AI acceleration took place in the last few years. Great breakt
 * **Mainstream AI:** Generative AI is changing the rules of AI adoption by empowering business users at an unprecedented level. It might be easier than ever to implement AI in business. Many companies are working hard to rank higher in the maturity assessment model.
 
 >[!TIP]
->Take a moment to reflect on where your organization is on the path to AI success. \
+>Take a moment to reflect on where your organization is on the path to AI success.
 >![Photograph showing people working and talking around a table.](../media/2-reflection.jpg)
 
 Let’s wrap up with a knowledge check.

learn-pr/wwl-data-ai/create-business-value/includes/5-knowledge-check.md

@@ -1,2 +1,2 @@
 
-Choose the best response for each of the questions. 
+Choose the best response for each of the questions below.