AI/ML AWS VS AZURE
AI and machine learning
|AWS service||Azure service||Description|
|SageMaker||Machine Learning||A cloud service to train, deploy, automate, and manage machine learning models.|
|Alexa Skills Kit||Bot Framework||Build and connect intelligent bots that interact with your users using text/SMS, Skype, Teams, Slack, Microsoft 365 mail, Twitter, and other popular services.|
|Lex||Speech Services||API capable of converting speech to text, understanding intent, and converting text back to speech for natural responsiveness.|
|Lex||Language Understanding (LUIS)||Allows your applications to understand user commands contextually.|
|Polly, Transcribe||Speech Services||Enables both Speech to Text, and Text into Speech capabilities.|
Computer Vision: Extract information from images to categorize and process visual data.
Face: Detect, identify, and analyze faces in photos.
Emotions: Recognize emotions in images.
|Skills Kit||Virtual Assistant||The Virtual Assistant Template brings together a number of best practices we've identified through the building of conversational experiences and automates integration of components that we've found to be highly beneficial to Bot Framework developers.|
My rosetta stone for AI terms used by Microsoft and Amazon.