Ignite Brings Updates Across Azure Cognitive Services and Azure ML

Two new GA features in Azure Cognitive Search will help you securely access data for your search service and register it as a trusted service.

At Ignite 2020, Microsoft unveiled updates to Azure Cognitive Services and Azure ML aimed at helping customers securely access data for their search service. The company also launched two features in Azure Cognitive Search: Private Endpoints, and Managed Identities. There are many enhancements to Bot Framework Composer as well.
 
Private Endpoints, allows users to use indexers to connect to a data source behind Azure Virtual Network (VNet). You can also request Azure Cognitive Search to create an outbound private endpoint connection to securely access data from data sources via indexers.
 
Managed Identities offers role-based access control (RBAC) assignments. It enables a secure connection between an indexer and the data source. You can connect to a data source without having to enter data-source credential information as part of the configuration.
 
Microsoft said that Azure Machine Learning now offers new capabilities that make it easier to build and deploy models your way with visual tools. There are new data preprocessing capabilities as well.
 
Designer capability, which is now generally available offers drag-and-drop modules for numerous tasks, including data preparation, model training and evaluation. Automated ML UI capability enables you to build and deploy predictive models for most common use cases, such as classification, regression and forecasting.
 
According to the announcement, a new set of security and enterprise readiness features for Azure ML features are now available in preview. And the new operation level RBAC security support helps customers with granular control over their ML projects to set custom roles or reuse prebuilt roles to control specific operations for individual users in a workspace.
Azure ML Integration with mlflow, now also includes support for submitting jobs to the cloud, model registry and model deployment support as well as expanded experimentation UI features.
 
Bot Framework Composer now makes it easier to build skills for use within the Virtual Assistant Solution Accelerator. You can now use it directly within Power Virtual Agents to quickly build a skill and extend a Power Virtual Agent bot.​
 
Within Azure Bot Service, the Alexa channel is now generally available. This will make it easier for developers to build one bot and deploy it across popular channels.