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Average Ratings 0 Ratings
Description
Jumpstart your execution of typical Internet of Things (IoT) applications such as remote monitoring, industrial IoT (IIoT), predictive maintenance, and device simulation. Access all necessary cloud-based services and the corresponding application code to ensure a successful, efficient, and streamlined development and deployment process. Retain complete control over your solution’s architecture while customizing existing services to fit your specific requirements. Utilize a preconfigured dashboard for data visualization and establish rules to initiate actions via the user interface. Create and evaluate your IoT solutions on simulated devices by leveraging the device simulation solution accelerator. Perform realistic assessments by employing intricate device models that replicate authentic scenarios. Make use of the device simulation web application to set up and execute your simulations. Furthermore, connect and oversee your industrial assets using industry standards like OPC-UA through the Azure IoT connected factory solution accelerator, ensuring enhanced operational efficiency and insights. With these tools at your disposal, you can seamlessly integrate and optimize your IoT initiatives for better outcomes.
Description
An entirely managed cloud-based solution that facilitates device registration, connectivity, control, quick visualization, and data storage. By integrating chip, app, and cloud technologies, users can fully leverage Watson's cognitive APIs, feature-rich dashboards, extensive developer tools, and top-tier security measures to enhance insights in enterprise IoT. This service provides predictive, real-time, and edge analysis of user, machine, and environmental data, utilizing machine learning and cognitive APIs. It enables governance over applications and devices within an IoT framework, monitoring usage and performance trends, detecting anomalies, and validating data and transactions. The platform connects IoT devices, networks, and gateways through an expanding ecosystem that employs open standards-based communications such as MQTT and HTTPS. Furthermore, it allows for the identification, aggregation, and transformation of data from various IoT sources into structured asset-based data. Users can harness their IoT data to gain insights into current conditions and trends, analyze unstructured data from videos and images, and extract valuable information from unstructured textual data. Ultimately, this service empowers organizations to make informed decisions based on comprehensive data analysis and visualization.
API Access
Has API
API Access
Has API
Integrations
Cisco IoT Control Center
IBM API Connect
IBM App Connect
IBM Aspera
IBM Cloud
IBM Cloud Pak for Applications
IBM MQ
IBM Watson IoT
Red Hat Cloud Suite
SAP Cloud Platform
Integrations
Cisco IoT Control Center
IBM API Connect
IBM App Connect
IBM Aspera
IBM Cloud
IBM Cloud Pak for Applications
IBM MQ
IBM Watson IoT
Red Hat Cloud Suite
SAP Cloud Platform
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/features/iot-accelerators/
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/cloud/watson-iot-platform
Product Features
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