formatting

Author: deeikele

articles/ai-studio/concepts/ai-resources.md

@@ -18,7 +18,9 @@ ms.author: eur
 
 In Azure, resources enable access to Azure services for individuals and teams. Access to many Azure AI capabilities is available via a unified resource called Azure AI. 
 
-The preview 'Azure AI' resource used in AI studio can be used to access multiple Azure AI services with a single setup. Previously, different Azure AI services including [Azure OpenAI](../../ai-services/openai/overview.md), [Azure Machine Learning](../../machine-learning/overview-what-is-azure-machine-learning.md), [Azure Speech](../../ai-services/speech-service/overview.md), required their individual setup. The AI resource provides the working environment for a team to build and manage AI applications, catering to two main user persona:
+The preview 'Azure AI' resource used in AI studio can be used to access multiple Azure AI services with a single setup. Previously, different Azure AI services including [Azure OpenAI](../../ai-services/openai/overview.md), [Azure Machine Learning](../../machine-learning/overview-what-is-azure-machine-learning.md), [Azure Speech](../../ai-services/speech-service/overview.md), required their individual setup.
+
+The AI resource provides the working environment for a team to build and manage AI applications, catering to two persona:
 
 * To AI developers, the Azure AI resource provides the working environment for building AI applications granting access to various tools for AI model building. Tools can be used together, and lets you use and produce shareable components including datasets, indexes, models. AI resources allows you to configure connections to external resources, provide compute resources used by tools and [endpoints and access keys to pre-built AI models](#azure-ai-services-resource-keys).
 * To IT administrators and team leads, the Azure AI resource provides a single pane of glass on projects created by a team, audit connections that are in use to external resources, and additional governance controls to help meet cost and compliance requirements. Security settings are configured on the Azure AI resource, and once set up apply to all projects created under it, allowing administrators to enable developers to self-serve create projects to organize work.