Merge pull request #285707 from eric-urban/eur/aoai

[SCOPED] Azure OpenAI terminology

Author: denrea

articles/communication-services/samples/includes/call-automation-ai-csharp.md

@@ -55,9 +55,9 @@ Open the appsettings.json file to configure the following settings:
 - `DevTunnelUri`: your dev tunnel endpoint
 - `CognitiveServiceEndpoint`: The Azure AI services endpoint
 - `AcsConnectionString`: Azure Communication Service resource's connection string.
-- `AzureOpenAIServiceKey`: Open AI's Service Key
-- `AzureOpenAIServiceEndpoint`: Open AI's Service Endpoint
-- `AzureOpenAIDeploymentModelName`: Open AI's Model name
+- `AzureOpenAIServiceKey`: Azure OpenAI Service Key
+- `AzureOpenAIServiceEndpoint`: Azure OpenAI Service Endpoint
+- `AzureOpenAIDeploymentModelName`: Azure OpenAI Model name
 
 
 ## Run the application

articles/communication-services/samples/includes/call-automation-ai-java.md

@@ -39,9 +39,9 @@ This Azure Communication Services Call Automation AI sample demonstrates how to
     - `connectionstring`: Azure Communication Service resource's connection string.
     - `basecallbackuri`: Base url of the app. For local development use dev tunnel url.
     - `cognitiveServicesUrl`: The Azure AI services endpoint
-    - `azureOpenAiServiceKey`: Open AI's Service Key
-    - `azureOpenAiServiceEndpoint`: Open AI's Service Endpoint
-    - `openAiModelName`: Open AI's Model name
+    - `azureOpenAiServiceKey`: Azure OpenAI Service Key
+    - `azureOpenAiServiceEndpoint`: Azure OpenAI Service Endpoint
+    - `openAiModelName`: Azure OpenAI Model name
 
 
 ### Setup and host your Azure DevTunnel

articles/communication-services/samples/includes/call-automation-ai-python.md

@@ -64,9 +64,9 @@ Open `main.py` file to configure the following settings
 1. - `CALLBACK_URI_HOST`: your dev tunnel endpoint
 2. - `COGNITIVE_SERVICE_ENDPOINT`: The Azure AI Services endpoint
 3. - `ACS_CONNECTION_STRING`: Azure Communication Service resource's connection string.
-4. - `AZURE_OPENAI_SERVICE_KEY`: Open AI's Service Key
-5. - `AZURE_OPENAI_SERVICE_ENDPOINT`: Open AI's Service Endpoint
-6. - `AZURE_OPENAI_DEPLOYMENT_MODEL_NAME`: Open AI's Model name
+4. - `AZURE_OPENAI_SERVICE_KEY`: Azure OpenAI Service Key
+5. - `AZURE_OPENAI_SERVICE_ENDPOINT`: Azure OpenAI Service Endpoint
+6. - `AZURE_OPENAI_DEPLOYMENT_MODEL_NAME`: Azure OpenAI Model name
 6. - `AGENT_PHONE_NUMBER`: Agent Phone Number to transfer call
 
 

articles/frontdoor/TOC.yml

@@ -336,7 +336,7 @@
           href: integrate-storage-account.md
         - name: Azure API Management
           href: ../api-management/front-door-api-management.md?toc=/azure/frontdoor/toc.json
-        - name: Azure Open AI
+        - name: Azure OpenAI
           href: ../web-application-firewall/afds/protect-azure-open-ai.md?toc=/azure/frontdoor/toc.json
         - name: Azure Static Web Apps
           href: ../static-web-apps/front-door-manual.md?toc=/azure/frontdoor/toc.json

articles/logic-apps/workflow-assistant-standard.md

@@ -174,7 +174,7 @@ When you enter your question in the assistant's chat box, the Azure Logic Apps b
 
 **A**: [Azure OpenAI Service](../ai-services/openai/overview.md) is an enterprise-ready AI technology that's powered and optimized for your business processes and your business data to meet security and privacy requirements.
 
-[ChatGPT](https://openai.com/blog/chatgpt) is built by [Open AI](https://openai.com) and is a general-purpose large language model (LLM) trained by OpenAI on a massive dataset of text, designed to engage in human-like conversations and answer a wide range of questions on several topics.
+[ChatGPT](https://openai.com/blog/chatgpt) is built by [OpenAI](https://openai.com) and is a general-purpose large language model (LLM) trained by OpenAI on a massive dataset of text, designed to engage in human-like conversations and answer a wide range of questions on several topics.
 
 ## Next steps