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Description
Azure Percept is a user-friendly, all-encompassing platform designed to enhance security while developing edge AI solutions. You can initiate your proof of concept within minutes, thanks to hardware accelerators that effortlessly connect with Azure AI and Azure IoT services. Out of the box, Azure Percept is compatible with Azure Cognitive Services, Azure Machine Learning, and various other Azure offerings, providing real-time insights for both vision and audio applications. This end-to-end edge AI platform includes hardware accelerators that are integrated with Azure AI and IoT services, facilitating a smoother development process. With pre-built AI models and robust solution management tools, you can quickly kickstart your proof of concept. Built-in security features ensure that your edge AI solution safeguards your most sensitive and high-value assets. You can begin with a collection of pre-existing AI models tailored for vision tasks, such as object detection, shelf analytics, and vehicle analytics, as well as audio functions like voice control and anomaly detection. Additionally, you have the flexibility to customize AI model training without writing any code and to deploy your solutions either locally or in the cloud, thereby maximizing your implementation options. This versatility and ease of use make Azure Percept a compelling choice for organizations looking to harness the power of edge AI.
Description
GO+ provides development resources tailored for service providers, enabling them to create additional offerings for their business clientele. The platform is designed to handle a large volume of devices simultaneously through advanced algorithms. This allows service providers to focus less on the challenges of developing new services for their customers. At the heart of the platform lies an analytical decision-making engine that utilizes Granular Computing for intricate data processing and analysis with complex event handling. We leverage cloud technology that seamlessly integrates business logic from real devices directly to the cloud environment. This scalability ensures that we can offer cost-effective solutions. Additionally, the platform's scripting engine equips developers with a comprehensive suite of tools to craft highly customized IoT services applicable across various industries. GO+ is constructed on cutting-edge cloud computing technology, ensuring optimal performance and reliability. Ultimately, GO+ empowers service providers to innovate without the typical constraints associated with service development.
API Access
Has API
API Access
Has API
Integrations
AWS Cloud9
Amazon Web Services (AWS)
Azure AI Services
Azure Industrial IoT
Azure IoT Central
Azure Machine Learning
Facebook
GitHub
Google
Hadoop
Integrations
AWS Cloud9
Amazon Web Services (AWS)
Azure AI Services
Azure Industrial IoT
Azure IoT Central
Azure Machine Learning
Facebook
GitHub
Google
Hadoop
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/azure-percept/
Vendor Details
Company Name
GO+
Country
United States
Website
goplusplatform.com/platform/
Product Features
IoT Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
IoT Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking