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What is Azure Resource Manager?

Azure Resource Manager is the foundational service for deploying and managing resources in Azure, providing a robust management interface that lets users create, modify, and delete resources in their Azure accounts. Once resources are deployed, management functionalities like access control, locks, and tagging can be employed to improve security and organization. Requests originating from any Azure tools, APIs, or SDKs are sent to Resource Manager, which authenticates and authorizes them before dispatching the requests to the relevant Azure service to carry out the required actions. The uniform API that handles all requests ensures that users experience a consistent interface and feature set across different tools. Each feature available in the Azure portal is also accessible through PowerShell, Azure CLI, REST APIs, and client SDKs, providing a streamlined experience for users. Significantly, features that debut through APIs usually become accessible in the portal within around 180 days, ensuring that all access points remain in sync. This synchronization allows users to depend on reliable performance and up-to-date features across all platforms, fostering an integrated environment for resource management. Ultimately, Azure Resource Manager plays a vital role in enhancing user efficiency and ensuring a seamless interaction with Azure services.

What is Azure Percept?

Azure Percept is a comprehensive and intuitive platform that bolsters the security of edge AI solution development. You can get started on your proof of concept within minutes by leveraging hardware accelerators that are specifically engineered for seamless integration with Azure AI and Azure IoT services. The platform functions directly with Azure Cognitive Services, Azure Machine Learning, and an array of other Azure tools to deliver instantaneous insights for visual and auditory data. This all-in-one edge AI platform incorporates integrated hardware accelerators that connect effortlessly to Azure's AI and IoT services, facilitating a streamlined experience. With access to pre-built AI models and management tools, you can swiftly initiate your proof of concept. Furthermore, robust security features are woven into your edge AI solution, protecting your most crucial and valuable resources. You can also tap into a diverse library of ready-made AI models that provide vision capabilities, such as object detection and shelf analytics, as well as audio functionalities like voice control and anomaly recognition. The platform empowers users to customize AI model training without requiring any coding skills, allowing for deployment options that include both local and cloud environments. This level of flexibility guarantees that users can adapt their AI solutions to meet specific requirements while ensuring top-notch security and operational effectiveness. Ultimately, Azure Percept represents a significant advancement in making edge AI more accessible and secure for organizations of all sizes.

Media

Media

Integrations Supported

Azure Analysis Services
BlocTrust
BloodHound Enterprise
Brainboard
Codacy
Cortex
Cortex Cloud
DROPS
Kaholo
Netdata
Offensive 360
PowerShell
ThreatModeler

Integrations Supported

Azure AI Services
Azure Industrial IoT
Azure IoT Central
Azure Machine Learning
Microsoft Azure

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Linux

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

microsoft.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/azure-percept/

Categories and Features

Categories and Features

IoT Analytics

Not specified

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