Artificial Intelligence or AI is a technology that trains machines to imitate human behavior and capabilities. The technology allows us to interpret visuals, detect anomalies, etc just like a human does.
Azure Cognitive Services is an integral part of the AI services that helps in building effective and intelligent software applications.
What is Azure Cognitive Services
Azure Cognitive Services are pre-made APIs that are available to developers to help them build intelligent software applications without having any direct machine learning or AI skills expertise. Azure Cognitive Services allow developers to easily embed cognitive services in their applications.
In Machine learning, the developer has to bring together the training dataset and then test the validity of the dataset through suitable models and then evaluate the results and thus requires knowledge of different models and concepts of machine learning but with Azure Cognitive Services the tasks become easy as the developer has to provide the data only and the rest like training the data and finding the best models is done by the cognitive services that are provided.
Read More: About Azure AI Fundamentals Certification.
Benefits Of Using Azure Cognitive Services
Azure Cognitive Services has empowered developers around the globe by making it easier to add AI capabilities to software applications.
- Requires no machine learning expertise.
- Easy to add AI capabilities to existing applications.
- It provides containers for deploying in cloud or on-premises.
Check out: Overview of Azure Machine Learning
Azure Cognitive Services – Service Catalog
There are 20 different sets of Azure Cognitive Services that are available which are further categorized into 5 families namely:
Vision
Used for identifying and analyzing content with videos and images. It includes APIs like:
1) Computer Vision: It is an AI service that is generally used for analyzing content in the images.
Note: To see a demo of Computer Vision click here
2) Face: It is an AI service that is used for identifying people and emotions in images.
3) Form Recogniser: This AI service is used for extracting information from documents.
To know in detail about Object Detection & Tracking click here
Decision
Used for making decisions faster and smart. It includes APIs like:
1) Anomaly Detection: This AI service helps to detect the problems before they occur.
2) Content Moderator: This AI service is used as a review tool for images, texts, and videos.
Read More : About Microsoft Azure AI Fundamentals ( click here )
Speech
Used for embedding speech processors in software applications. It includes APIs like:
1) Speech Translation: It is a service that embeds speech translation features in real-time.
Note: To see a demo of speech translation click here.
2) Speech Recognition: It is a service that is used to identify and verify speakers.
To know in detail about how speech translation works click here
Language
Used for Extracting meaning from text. It includes APIs like:
1) Text Analytics: AI service to detect language, sentiments from a text.
2) Translator: AI service to translate text into different languages. It can support 60 languages.
3) QnA Maker: AI service that provides the facility to create a conversational question and answer like a bot.
Learn more about Azure Machine Learning Studio, a Machine Learning service that helps to build and deploy models faster.
Web Search
Used for finding your search from the world-wide web. It includes APIs like:
1) Bing Image search: This AI service allows us to add a variety of search images into one’s application.
2) Bing Autosuggest: This service helps to complete queries faster by providing IntelliSense support.
Note: To see a demo of Bing Autosuggestion service click here.
3) Bing Spell Check: This service helps in correcting spelling errors, understand homophones, and differentiate between names, brands, etc.
Note: To see a demo of how Spell Check works click here.
Related/References:
- [DP-100] Microsoft Certified Azure Data Scientist Associate: Everything you must know
- [AI-900] Microsoft Certified Azure AI Fundamentals Course: Everything you must know
- Microsoft Certified Azure Data Scientist Associate | DP 100 | Step By Step Activity Guides (Hands-On Labs)
- Automated Machine Learning | Azure | Pros & Cons
- Object Detection and Tracking in Azure Machine Learning
- Speech Translation (Artificial Intelligence, Machine Learning)
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