Update cognitive-services-container-support.md

Author: JonVenezia

articles/cognitive-services/cognitive-services-container-support.md

@@ -24,7 +24,7 @@ Containerization is an approach to software distribution in which an application
 
 ## Features and benefits
 
-- **Immutable infrastructure**: Enable DevOps teams' to leverage a consistent and reliable set of known system parameters, while being able to adapt to change. Containers provide the flexibility to pivot within a predictable ecosystem and avoid configuration drift.
+- **Immutable infrastructure**: Enable DevOps teams to leverage a consistent and reliable set of known system parameters, while being able to adapt to change. Containers provide the flexibility to pivot within a predictable ecosystem and avoid configuration drift.
 - **Control over data**: Choose where your data gets processed by Cognitive Services. This can be essential if you can't send data to the cloud but need access to Cognitive Services APIs. Support consistency in hybrid environments – across data, management, identity, and security.
 - **Control over model updates**: Flexibility in versioning and updating of models deployed in their solutions.
 - **Portable architecture**: Enables the creation of a portable application architecture that can be deployed on Azure, on-premises and the edge. Containers can be deployed directly to [Azure Kubernetes Service](../aks/index.yml), [Azure Container Instances](../container-instances/index.yml), or to a [Kubernetes](https://kubernetes.io/) cluster deployed to [Azure Stack](/azure-stack/operator). For more information, see [Deploy Kubernetes to Azure Stack](/azure-stack/user/azure-stack-solution-template-kubernetes-deploy).