Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Develop or implement IoT solutions that integrate both modern and legacy machinery while facilitating connections among suppliers, customers, and a globally distributed workforce. Azure Industrial IoT is founded on the idea that innovative solutions and data should work together seamlessly using industry standards, effectively avoiding vendor lock-in. By enabling rapid asset discovery, providing exceptional global support, and leveraging extensive security knowledge from the chip to the cloud, organizations can achieve scalable outcomes. Maintain control over your IoT solutions while linking existing brownfield equipment and ensuring readiness for new technologies or assets in the future. Create industrial IoT systems that align with industrial devices and frameworks through the use of OPC UA standards. Enhance data interpretation with robust visualizations provided by Azure's managed platform services, open-source tools, and adaptable industrial data models available both on the edge and in the cloud, ultimately driving better decision-making and operational efficiency. This comprehensive approach enables a seamless transition to a more connected industrial environment.
Description
IoTSense stands out as a highly acclaimed, comprehensive IoT platform that employs open standards, making it one of the most adaptable and scalable options on the market. In addition to this, IoTSense provides a technology-oriented approach specifically tailored for the Industrial Internet of Things (IIoT). When IoT technology is applied within industrial or manufacturing settings, it is referred to as IIoT. This concept, also known as Industry 4.0 or the Industrial Internet, merges big data technologies, machine learning, sensor data, and machine-to-machine (M2M) communication to create intelligent, commercially viable industrial equipment and facilities. Our IIoT platform empowers users to securely connect and manage IoT data on a much larger scale, facilitating enhanced operational efficiency. Essentially, IIoT comprises a network of interconnected devices that utilize communication technologies to analyze data, share information, and deliver comprehensive insights into operations, enabling swift decision-making to drive business improvement. By leveraging IIoT, organizations can significantly optimize their processes and gain a competitive edge in their respective industries.
API Access
Has API
API Access
Has API
Integrations
Adroit Ignite
AgilePoint NX
Assembly
Azure CDN
Azure Percept
Azure Sphere
Beats
DataHUB+
FactoryTalk Edge Gateway
IBM StreamSets
Integrations
Adroit Ignite
AgilePoint NX
Assembly
Azure CDN
Azure Percept
Azure Sphere
Beats
DataHUB+
FactoryTalk Edge Gateway
IBM StreamSets
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$20000 as a one-time payment
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 Azure
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/solutions/industry/manufacturing/iot/
Vendor Details
Company Name
Winjit
Founded
2004
Country
United States
Website
www.winjit.com
Product Features
Industrial IoT
Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications
Product Features
Industrial IoT
Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization