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Azure Artifitial Intelligence + ML Overview

Costa Rica

GitHub brown9804

Last updated: 2024-09-13

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All Azure services as for now:

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Area Category Service Overview
Artifitial Intelligence Platform Azure AI Studio Azure AI Studio is a comprehensive platform for building, deploying, and managing AI solutions. It's a cloud-based service that makes it easy for developers of all skill levels to build AI applications. It provides a single place to do everything you need to build an AI application, including loading data from a variety of sources, preparing it for training, training a model, and deploying the model to production.

For more information:
Product
How to Build
What is Azure AI Studio?, and MS What is Azure AI Studio?
Machine Learning Platform Azure Machine Learning Azure Machine Learning Platform is a cloud service for accelerating and managing the machine learning (ML) project lifecycle. It provides an environment to create and manage the end-to-end life cycle of Machine Learning models. Azure Machine Learning’s compatibility with open-source frameworks and platforms like PyTorch and TensorFlow makes it an effective all-in-one platform for integrating and handling data and models.

For more information:
Product
What is Azure Machine Learning?
Introduction to Azure Machine Learning
Azure Machine Learning architecture
AI Platform
AI + APIs Service AI Services Azure AI services are a collection of cloud-based services provided by Microsoft Azure to help developers build applications with artificial intelligence capabilities.

Here’s an overview:
1. Azure Machine Learning: A cloud-based environment you can use to train, deploy, automate, manage, and track ML models.
2. Azure Cognitive Services: A collection of APIs, SDKs, and services available to help developers build intelligent applications without having direct AI or data science skills or knowledge. It includes services for vision, speech, language, decision, and web search.
3. Azure Bot Service: Enables developers to create conversational interfaces on multiple channels.
4. Azure Databricks: An Apache Spark-based analytics platform optimized for Azure. It's integrated with Azure to provide one-click setup, streamlined workflows, and an interactive workspace.
5. Azure Search: A search-as-a-service cloud solution that gives developers APIs and tools for adding a rich search experience over private, heterogeneous content in web, mobile, and enterprise applications.
6. Azure Data Lake Analytics: An on-demand analytics job service that simplifies big data. Instead of deploying, configuring, and tuning hardware, you write queries to transform your data and extract valuable insights.

These services are designed to work together to help developers and data scientists build end-to-end AI applications. They can be used individually or in combination, depending on the specific application requirements. They are all built on the robust Azure cloud platform, ensuring scalability, reliability, and security.

Remember, the use of these services requires an Azure subscription. If you don't have one, you can create a free account to get started.
To see the list of Available Azure AI services, click here
AI + APIs Service AI Services multi-service account 1. AI Services offer prebuilt and customizable APIs and models for creating intelligent applications. reference
2. A multi-service account allows access to multiple Azure AI services with a single key and endpoint, consolidating billing. reference and here
3. In contrast, a single-service account provides access to a specific AI service with a unique key and endpoint. refenrece
AI + APIs AI Service AI Search (formerly known as "Azure AI Search") Azure AI Search, a powerful information retrieval platform by Microsoft, enables developers to create rich search experiences and generative AI applications. For more information click here
AI + APIs AI Service AI Video Indexer Azure AI Video Indexer is a cloud and edge video analytics service that uses artificial intelligence to extract actionable insights from stored videos, for more information click here
AI + APIs AI Service AI Content Safety The service was used in various scenarios such as online marketplaces that moderate product catalogs and other user-generated content, and gaming companies that moderate user-generated game artifacts and chat rooms.

Click here for reference.
AI + APIs AI Service Bot Services Azure AI Bot Service was a part of Azure AI services that provided a comprehensive environment for building, testing, hosting, and deploying bots. It was designed to apply AI features and could be used to build intelligent applications.

Click here for reference, and 2, 3, 4.
AI + APIs Service Computer Vision Azure AI Vision, also known as Azure Computer Vision, was a cloud-based service provided by Microsoft Azure. It offered advanced algorithms that processed images and returned information based on the visual features you’re interested in. This service could be used to build intelligent applications.

For more information click here, 2, 3, 4.
AI + APIs AI Service Custom Vision Azure AI Custom Vision was an image recognition service provided by Microsoft Azure. It allowed users to build, deploy, and improve their own image identifier models. An image identifier applied labels to images, according to their visual characteristics. Each label represented a classification or object.

Click here for more information, 2, 3, 4.
AI + APIs AI Service Document intelligences Azure AI Document Intelligence is a service provided by Microsoft Azure. It is an automated data processing system that uses AI and OCR to quickly extract text and structure from documents.

Click here for reference, 2.
AI + APIs AI Service Face APIs Azure Face API is a cloud-based service that provides algorithms for face detection and recognition. It's a part of the Azure Cognitive Services suite.

Click here for reference, 2, 3, princing.
AI + APIs AI Service Immersive readers Azure AI Immersive Reader is an AI service that helps users read and comprehend text. It's a part of the Azure AI Services suite.

For more information: Azure AI Immersive Reader Microsoft Azure
What is Azure AI Immersive Reader? - Azure AI services
Azure Immersive Reader.
AI + APIs AI Service Azure OpenAI Azure OpenAI Service is an AI service that provides REST API access to OpenAI's powerful language models. It's a part of the Azure AI Services suite.

For more information.
- Azure OpenAI Service – Advanced Language Models
- What is Azure OpenAI Service? - Azure AI services
- Azure OpenAI Service powers the next generation of startups
- Explore the benefits of Azure OpenAI Service with Microsoft Learn
AI + APIs AI Service Speech Services Azure Speech Services is a managed service offering industry-leading speech capabilities such as speech-to-text, text-to-speech, speech translation, and speaker recognition.

For more information
- What is the Speech service? - Azure AI services
- Azure AI Speech
- Speech to Text – Audio to Text Translation
- Text to Speech – Realistic AI Voice Generator
AI + APIs AI Service Translators Azure Translator Service is a cloud-based neural machine translation service that is part of the Azure AI services family. It can be used with any operating system and powers many Microsoft products and services used by thousands of businesses worldwide for language translation and other language-related operations.

For more information:
- What is Azure AI Translator? - Azure AI services
- Azure AI Translator
- Azure AI Translator documentation - quickstarts, tutorials, API ....
AI + APIs AI Service Language Azure AI Language was a cloud-based service provided by Microsoft Azure. It offered Natural Language Processing (NLP) features for understanding and analyzing text. This service was used to build intelligent applications using the web-based Language Studio, REST APIs, and client libraries.

The Azure AI Language service unified the following previously available Azure AI services: Text Analytics, QnA Maker, and LUIS. It also provided several new features.

Here are some of the key features of the Azure AI Language service:
1. Named Entity Recognition (NER): This preconfigured feature categorized entities (words or phrases) in unstructured text across several predefined category groups.
2. Personally Identifying (PII) and Health (PHI) Information Detection: This preconfigured feature identified, categorized, and redacted sensitive information in both unstructured text documents, and conversation transcripts.
3. Language Detection: This preconfigured feature detected the language a document was written in, and returned a language code for a wide range of languages, variants, dialects, and some regional/cultural languages.
4. Sentiment Analysis and Opinion Mining: These preconfigured features helped find out what people think of a brand or topic by mining text for clues about positive or negative sentiment, and could associate them with specific aspects of the text.
5. Summarization: This preconfigured feature used extractive text summarization to produce a summary of documents and conversation transcriptions.

However, please note that as of July 2023, Azure AI services encompassed all of what were previously known as Cognitive Services and Azure Applied AI Services. Click here for reference, and 2, 3, 4
Industry Machine Learning solutions Solution Intelligent Recommendations Accounts Azure Intelligent Recommendations is a service that democratizes AI and machine learning recommendations through a codeless experience. It's powered by the same technology that fuels Xbox, Microsoft 365, and Microsoft Azure.

For more information:
What is Intelligent Recommendations?
Create a new Intelligent Recommendations account
Microsoft Entra ID Governance introduces two new features in access reviews

Retired

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Area Category Service Overview
AI + APIs AI Service Anomaly detectors $${\color{red}Retired}$$ Azure Anomaly Detector was an AI service provided by Microsoft Azure. It offered a set of APIs that allowed users to monitor and detect anomalies in their time series data with little machine learning (ML) knowledge. This could be done either through batch validation or real-time inference. For reference click here
AI + APIs AI Service Content moderators $${\color{red}Retired}$$ Azure Content Moderator was an AI service provided by Microsoft Azure. It was designed to handle content that could be potentially offensive, risky, or otherwise undesirable. The service included AI-powered content moderation which scanned text, images, and videos, and automatically applied content flags. However, Azure Content Moderator was deprecated in February 2024 and was retired by February 2027. It was replaced by Azure AI Content Safety, which offered advanced AI features and enhanced performance. Click here for reference.
AI + APIs AI Service Metrics Advisors $${\color{red}Retired}$$ Azure AI Metrics Advisor was a part of Azure AI services that used AI to perform data monitoring and anomaly detection in time series data. The service automated the process of applying models to your data, and provided a set of APIs and a web-based workspace for data ingestion, anomaly detection, and diagnostics. Developers could build AIOps, predictive maintenance, and business monitor applications on top of the service.

Here are some of the key features of the Azure AI Metrics Advisor service:
1. Connect to a variety of data sources: Metrics Advisor could connect to, and ingest multi-dimensional metric data from many data stores, including SQL Server, Azure Blob Storage, MongoDB and more.
2. Easy-to-use and customizable anomaly detection: Metrics Advisor automatically selected the best model for your data, without needing to know any machine learning. It could automatically monitor every time series within multi-dimensional metrics. Users could use parameter tuning and interactive feedback to customize the model applied on their data, and future anomaly detection results.
3. Real-time notification through multiple channels: Whenever anomalies were detected, Metrics Advisor was able to send real time notification through multiple channels using hooks, such as email hooks, web hooks, Teams hooks and Azure DevOps hooks. Flexible alert configuration let users customize when and where to send a notification.
4. Smart diagnostic insights by analyzing anomalies: Metrics Advisor combined anomalies detected on the same multi-dimensional metric into a diagnostic tree to help users analyze root cause into specific dimension.

However, please note that starting from the 20th of September, 2023, creation of new Metrics Advisor resources was discontinued, and the Metrics Advisor service was retired on the 1st of October, 2026. Click here
AI + APIs AI Service Personalizers $${\color{red}Retired}$$ Azure AI Personalizer was an AI service provided by Microsoft Azure. It used reinforcement learning to help applications make smarter decisions at scale. Personalizer processed information about the state of your application, scenario, and/or users (contexts), and a set of possible decisions and related attributes (actions) to determine the best decision to make.

Here are some of the key features of the Azure AI Personalizer service:
- Real-time Learning: Personalizer could improve over time based on user behavior, and discover what maximizes results to stay on top of changing trends.
- Quick Integration: Personalizer could be embedded by adding two lines of code. It worked with your data in any form.
- Apprentice Mode: When turned on, Personalizer learned alongside your existing solution without being exposed to users until it met your performance threshold.
- Evaluation: Users could interpret and evaluate Personalizer through the interface.

However, please note that starting from the 0th of September, 03, creation of new Personalizer resources was discontinued, and the Personalizer service was retired on the st of October, 06. Click here for reference.