Update to improve Acrolix

Author: Orin-Thomas

learn-pr/advocates/intro-ai-center-excellence/4-determining-organizational-roles-responsibilities.yml

@@ -3,7 +3,7 @@ uid: learn.introduction-generative-ai-center-excellence.determining-organization
 title: Determining organizational roles and responsibilities
 metadata:
   title: Determining organizational roles and responsibilities
-  description: Understand the roles and responsibilities of a AI Center of Excellence.
+  description: Understand the roles and responsibilities of an AI Center of Excellence.
   ms.date: 04/05/2025
   author: Orin-Thomas
   ms.author: orthomas

learn-pr/advocates/intro-ai-center-excellence/6-knowledge-check.yml

@@ -12,18 +12,18 @@ durationInMinutes: 3
 content: Choose the best response for each question.
 quiz:
   questions:
-    - content: "What is a primary responsibility of a AI Center of Excellence?"
+    - content: "What is a primary responsibility of an AI Center of Excellence?"
       choices:
         - content: "Developing custom LLM models for all organizational needs."
           isCorrect: false
-          explanation: "While the CoE may provide guidance on AI development, developing custom LLMs isn't a primary responsibility. A AI CoE can focus on execution responsibilities like developing models or serve as a guiding body."
+          explanation: "While the CoE may provide guidance on AI development, developing custom LLMs isn't a primary responsibility. an AI CoE can focus on execution responsibilities like developing models or serve as a guiding body."
         - content: "Aligning AI initiatives with organizational and business priorities."
           isCorrect: true
           explanation: "One of the key responsibilities of an AI CoE, is aligning AI initiatives with organizational and business priorities."
         - content: "Replacing existing security teams with AI specialists."
           isCorrect: false
           explanation: "The CoE should work 'in close and constant collaboration' with security teams rather than replacing them."
-    - content: "Which of the following best describes how a AI CoE approaches cost management?"
+    - content: "Which of the following best describes how an AI CoE approaches cost management?"
       choices:
         - content: "By focusing exclusively on using open-source models to minimize expenses."
           isCorrect: false

learn-pr/advocates/intro-ai-center-excellence/includes/1-introduction-generative-ai-center-excellence.md

@@ -1,10 +1,10 @@
-A AI CoE is a collection of people and resources that help an organization adopt AI. It helps define an organization's strategy, determining and establishing an organization's best practices for AI, and acts as an organization's AI adoption knowledge and skilling hub.
+An AI CoE is a collection of people and resources that help an organization adopt AI. It helps define an organization's strategy, determining and establishing an organization's best practices for AI, and acts as an organization's AI adoption knowledge and skilling hub.
 
-## What are the functions of a AI CoE?
+## What are the functions of an AI CoE?
 
-A AI CoE typically focuses on setting direction, defining strategies, providing support, establishing metrics, and monitoring the impact of AI initiatives. A AI CoE provides an organization with a central location and set of people that have the knowledge, skills, and capabilities to effectively leverage AI. When properly implemented, a AI CoE holds the authority and influence within an organization needed to drive adoption of AI solutions. 
+An AI CoE typically focuses on setting direction, defining strategies, providing support, establishing metrics, and monitoring the impact of AI initiatives. An AI CoE provides an organization with a central location and set of people that have the knowledge, skills, and capabilities to effectively leverage AI. When properly implemented, an AI CoE holds the authority and influence within an organization needed to drive adoption of AI solutions. 
 
-A AI CoE assists an organization with:
+An AI CoE assists an organization with:
 
 - Determining business use cases for AI applications.
 - Organizational AI readiness and driving adoption.
@@ -13,9 +13,9 @@ A AI CoE assists an organization with:
 - Ensuring that AI workloads are governed responsibly and are compliant.
 - Ensuring that AI workloads meet operations and security best practices.
 
-## Tailoring a AI CoE to your organization's needs
+## Tailoring an AI CoE to your organization's needs
 
-When designing and implementing a AI CoE, consider the following questions:
+When designing and implementing an AI CoE, consider the following questions:
 
 - Should the AI CoE concentrate on technical and operational aspects, on strategy and business alignment, or adopt an integrated approach?
 - Should the CoE focus on execution responsibilities like developing LLM models or serve as a guiding body, setting principles and frameworks?

learn-pr/advocates/intro-ai-center-excellence/includes/2-how-center-excellence-assists-planning-adoption-generative-ai.md

@@ -1,10 +1,10 @@
 IT projects suffer from many risks including scope creep, missing completion deadlines, and the project exceeding allocated budget. Projects that are planned out and which include best practices from the beginning are more likely to achieve their goals, be deployed within the projected timeframe, and remain within projected costs than those projects that take a more exploratory approach. A properly constituted AI CoE helps an organization minimize the chance that AI projects are unsuccessful and that the projects meet organizational aspirations.
 
-A AI CoE can influence all of an organization's AI projects with the aim of all of those projects being successful and driving value for the business.
+an AI CoE can influence all of an organization's AI projects with the aim of all of those projects being successful and driving value for the business.
 
 ## Estimates of business value
 
-A strong reason for organizations to consider adopting a AI CoE is that the structured approach that a properly functioning AI CoE brings helps an organization reap the strongest benefits from AI adoption.
+A strong reason for organizations to consider adopting an AI CoE is that the structured approach that a properly functioning AI CoE brings helps an organization reap the strongest benefits from AI adoption.
 
 When implemented correctly, an AI center of excellence ensures the right people are involved at the right time. Key responsibilities of the AI CoE include: 
 
@@ -17,14 +17,14 @@ When implemented correctly, an AI center of excellence ensures the right people
 
 ![Diagram showing the process through which technical and domain experts can collaborate in AI lifecycle.](../media/technical-domain-expert-collaboration.png)
 
-A AI CoE is able to identify use cases and ensure the "organizational fit." Domain experts (from business or specific functions) play a crucial role in identifying relevant use cases, determining the necessary data, and evaluating the model's effectiveness, especially considering the unique challenges of AI like delusions or model variability. The CoE is able to ensure that use cases must align with the organization's overarching strategy and its ability to deliver on that strategy.
+An AI CoE is able to identify use cases and ensure the "organizational fit." Domain experts (from business or specific functions) play a crucial role in identifying relevant use cases, determining the necessary data, and evaluating the model's effectiveness, especially considering the unique challenges of AI like delusions or model variability. The CoE is able to ensure that use cases must align with the organization's overarching strategy and its ability to deliver on that strategy.
 
 ## Realistic estimates of outcomes
 
-A AI CoE can also ensure that an assessment is performed of how realistic the goals of a AI project are before a line of code has been deployed, rather than determining that the goals weren't realistic only after the project fails to meet expectations. Implementing AI in an organization requires a clear approach to measure its performance, adoption, and impact. 
+An AI CoE can also ensure that an assessment is performed of how realistic the goals of an AI project are before a line of code has been deployed, rather than determining that the goals weren't realistic only after the project fails to meet expectations. Implementing AI in an organization requires a clear approach to measure its performance, adoption, and impact. 
 
-Without actionable metrics, it's challenging to evaluate progress, identify improvement areas, or manage complexity. A solid strategy depends on well-defined metrics to assess performance and ensure initiatives provide value. A AI CoE can be responsible for tracking these metrics to ensure that organizational objectives are achieved.
+Without actionable metrics, it's challenging to evaluate progress, identify improvement areas, or manage complexity. A solid strategy depends on well-defined metrics to assess performance and ensure initiatives provide value. an AI CoE can be responsible for tracking these metrics to ensure that organizational objectives are achieved.
 
 Beyond business outcomes, it's crucial to track how effectively AI is being adopted within the organization. Metrics like user engagement, frequency of usage, and integration with existing workflows can reveal valuable insights into the user experience and identify areas for improvement. 
 
-Transparent performance metrics developed by a AI CoE based on organizational expectations also increase organizational confidence in AI by demonstrating its real-world impact. Establishing clear links between AI performance and business outcomes strengthens stakeholder trust and reduces adoption barriers in future AI projects.
+Transparent performance metrics developed by an AI CoE based on organizational expectations also increase organizational confidence in AI by demonstrating its real-world impact. Establishing clear links between AI performance and business outcomes strengthens stakeholder trust and reduces adoption barriers in future AI projects.

learn-pr/advocates/intro-ai-center-excellence/includes/3-oversight-generative-ai-deployment-operations-governance.md

@@ -2,13 +2,13 @@ Infrastructure management is a critical component of adopting any IT solution. P
 
 ## Specifying AI best practices
 
-When implementing a AI CoE, you can ensure that the AI CoE is required to determine what best AI adoption practices will be followed prior to those solutions are deployed in the organization's infrastructure environment. A properly constituted AI CoE can also determine appropriate oversight mechanisms for the deployment and operation of the solution. Not only can oversight mechanisms and the implementation of best practices instituted from AI workload conception optimize costs, but they can also help ensure that a AI deployment complies with the regulatory requirements relevant to the organization. 
+When implementing an AI CoE, you can ensure that the AI CoE is required to determine what best AI adoption practices will be followed prior to those solutions are deployed in the organization's infrastructure environment. A properly constituted AI CoE can also determine appropriate oversight mechanisms for the deployment and operation of the solution. Not only can oversight mechanisms and the implementation of best practices instituted from AI workload conception optimize costs, but they can also help ensure that an AI deployment complies with the regulatory requirements relevant to the organization. 
 
 ## Security
 
 As organizations integrate AI into their workflows, they must account for risks related to data protection, model security, compliance, adversarial attacks, and responsible AI governance. Security isn't a standalone function, but an essential component of every AI deployment.
 
-While each AI solution incorporates security in different ways, a AI CoE plays an important role in setting guidelines and supporting teams in secure AI implementation. Rather than replacing dedicated security teams, the CoE needs to be in close and constant collaboration with them, to help embed security considerations into AI-related processes and align them with organizational security policies.
+While each AI solution incorporates security in different ways, an AI CoE plays an important role in setting guidelines and supporting teams in secure AI implementation. Rather than replacing dedicated security teams, the CoE needs to be in close and constant collaboration with them, to help embed security considerations into AI-related processes and align them with organizational security policies.
 
 ## Determining governance requirements
 
@@ -26,7 +26,7 @@ Managing the financial impact of AI systems requires a structured approach to op
 
 This practice establishes processes and tools to monitor, forecast, and optimize spending, ensuring that resources are efficiently allocated to maximize ROI. A key consideration in cost efficiency is determining whether to develop custom AI solutions or leverage off-the-shelf alternatives. Organizations must assess factors such as cost integration, complexity, and adaptability to make informed investment decisions.
 
-A AI CoE can contribute to cost efficiency by promoting FinOps principles, driving collaboration between finance, engineering, and business teams to ensure that financial considerations are integrated into every stage of AI solution development and deployment.
+An AI CoE can contribute to cost efficiency by promoting FinOps principles, driving collaboration between finance, engineering, and business teams to ensure that financial considerations are integrated into every stage of AI solution development and deployment.
 
 ## Monitoring and optimization
 

learn-pr/advocates/intro-ai-center-excellence/includes/4-determining-organizational-roles-responsibilities.md

@@ -1,6 +1,6 @@
-The integration of Artificial Intelligence and AI into businesses has led to the  emergence of new specialized roles essential for leveraging AI technologies effectively. Just as organizations once required specialized roles to navigate and master digital transformation, they now need dedicated leaders to drive the adoption, integration, and governance of AI. Part of a AI CoE's responsibilities are to determine whether new roles are required within the organization and the scope of those roles. 
+The integration of Artificial Intelligence and AI into businesses has led to the  emergence of new specialized roles essential for leveraging AI technologies effectively. Just as organizations once required specialized roles to navigate and master digital transformation, they now need dedicated leaders to drive the adoption, integration, and governance of AI. Part of an AI CoE's responsibilities are to determine whether new roles are required within the organization and the scope of those roles. 
 
-A AI CoE should spend time determining the appropriate scope and responsibilities of the roles that will be required for an organization's AI adoption to be successful. Some roles that a AI CoE may consider include:
+An AI CoE should spend time determining the appropriate scope and responsibilities of the roles that will be required for an organization's AI adoption to be successful. Some roles that an AI CoE may consider include:
 
 ## Chief Artificial Intelligence Officer (CAIO)
 

learn-pr/advocates/intro-ai-center-excellence/includes/5-skilling-your-organization.md

@@ -1,8 +1,8 @@
-Most people that work at an organization are unlikely to be AI specialists. This means that part of the role of a AI CoE is to ensure that the appropriate resources exist for nonspecialists to understand and be able to leverage AI applications to perform their organizational roles.
+Most people that work at an organization are unlikely to be AI specialists. This means that part of the role of an AI CoE is to ensure that the appropriate resources exist for nonspecialists to understand and be able to leverage AI applications to perform their organizational roles.
 
-By having personnel and resources available within an organization through a AI CoE, organizations can ensure that they can address skill gaps and provide targeted learning pathways, hands-on training, structured resources, and ongoing support to those using AI tools. 
+By having personnel and resources available within an organization through an AI CoE, organizations can ensure that they can address skill gaps and provide targeted learning pathways, hands-on training, structured resources, and ongoing support to those using AI tools. 
 
-A AI CoE can ensure that structured roadmaps that guide learning from foundational to advanced levels, including progress tracking, certifications, and practical project applications are available and easy for staff to consume. 
+An AI CoE can ensure that structured roadmaps that guide learning from foundational to advanced levels, including progress tracking, certifications, and practical project applications are available and easy for staff to consume. 
 
 By creating and commissioning resources that integrate AI tools into daily workflows, the AI CoE is able to accelerate learning and adoption, supporting organizational productivity through automation, workflow optimization, and improved efficiency. 
 

learn-pr/advocates/intro-ai-center-excellence/includes/7-summary.md

@@ -1 +1 @@
-In this module, you learned about the operation of a AI Center of Excellence (CoE). You learned how a CoE serves as a central hub for AI adoption by aligning business objectives with AI initiatives, establishing best practices, providing skill development, implementing governance frameworks, and managing security and cost concerns. You understood that a CoE can adopt various organizational models (centralized, decentralized, or hybrid) depending on the company's needs and helps determine critical roles like Chief Artificial Intelligence Officer, Head of AI, and technical specialists such as Prompt Engineers and AI Security Engineers. Beyond implementation, the CoE is responsible for monitoring AI performance, ensuring responsible AI practices, supporting nonspecialist staff through training resources, and ultimately driving successful AI integration throughout the organization to maximize business value while minimizing risks and costs.
+In this module, you learned about the operation of an AI Center of Excellence (CoE). You learned how a CoE serves as a central hub for AI adoption by aligning business objectives with AI initiatives, establishing best practices, providing skill development, implementing governance frameworks, and managing security and cost concerns. You understood that a CoE can adopt various organizational models (centralized, decentralized, or hybrid) depending on the company's needs and helps determine critical roles like Chief Artificial Intelligence Officer, Head of AI, and technical specialists such as Prompt Engineers and AI Security Engineers. Beyond implementation, the CoE is responsible for monitoring AI performance, ensuring responsible AI practices, supporting nonspecialist staff through training resources, and ultimately driving successful AI integration throughout the organization to maximize business value while minimizing risks and costs.

learn-pr/advocates/intro-ai-center-excellence/index.yml

@@ -5,15 +5,15 @@ metadata:
   author: Orin-Thomas
   ms.date: 04/05/2025
   title: Introduction to AI Center of Excellence
-  description: An overview of the purpose of a AI Center of Excellence
+  description: An overview of the purpose of an AI Center of Excellence
   ms.topic: module
   ms.collection:
     - ce-advocates-ai-copilot
   ms.service: artificial-intelligence
 title: Introduction to AI Center of Excellence
-summary: Overview of the purpose of a AI Center of Excellence. Includes how a center of excellence can assist with adopting AI, deployment, operations, and governance of AI applications. Also how a AI Center of Excellence can determine appropriate organizational roles to assist with AI workloads, function as a hub for learning resources and skilling, and provide a knowledge base for AI best practices.
+summary: Overview of the purpose of an AI Center of Excellence. Includes how a center of excellence can assist with adopting AI, deployment, operations, and governance of AI applications. Also how an AI Center of Excellence can determine appropriate organizational roles to assist with AI workloads, function as a hub for learning resources and skilling, and provide a knowledge base for AI best practices.
 abstract: |
-  In this module, you learn the purpose of a AI Center of Excellence, including how a center of excellence can:
+  In this module, you learn the purpose of an AI Center of Excellence, including how a center of excellence can:
   - Assist with adopting AI.
   - Assist with deployment, operations, and governance of AI applications.
   - Determine appropriate organizational roles to assist an organization with AI workloads