Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Leading cloud and edge solutions facilitate swift device deployment and simplify asset management. Keep track of IoT devices, asset functionality, and security through bi-directional communication. Streamline bulk firmware and software updates to improve features, maintain compliance, and expand your deployment capabilities. Access previously unreachable data from edge devices. Utilize open APIs to integrate device information, allowing for enhanced insights and control through third-party applications. Get immediate notifications and comprehensive reports regarding network health and device status. IoT device monitoring empowers businesses to oversee a large volume of deployed IoT devices and process billions of data points to extract actionable insights and ensure operational efficiency. By implementing IoT monitoring, organizations can confidently expand their IoT initiatives, assured in their ability to monitor each device, evaluate performance, and receive alerts on security threats, ultimately leading to a more robust and efficient operational framework. Thus, the integration of these tools not only enhances functionality but also paves the way for future innovations in IoT management.
Description
Siemens Industrial Edge is a multi-purpose edge computing platform that helps manufacturers process industrial data closer to where production happens. It is designed to optimize factory operations by combining Siemens and partner technologies across hardware, software, apps, connectivity, and central device management. The platform makes it easier to connect shop floor assets, standardize data, and turn operational information into real-time insights. Industrial Edge supports scalable app and device management, allowing companies to roll out software across distributed factory environments with IT-like simplicity. It connects OT systems with cloud platforms, IIoT SaaS solutions, ERP, MES, SCADA, and MQTT environments to support stronger IT and OT convergence. Manufacturers can use it for OEE monitoring, production analytics, intelligent maintenance, predictive insights, and resource planning. The platform also supports software-defined automation through virtual PLC and HMI capabilities, helping companies move toward more flexible manufacturing systems. AI models can be deployed on the shop floor for defect detection, monitoring, process optimization, and throughput improvement. With secure infrastructure, ecosystem offerings, and centralized management, Siemens Industrial Edge helps industrial organizations reduce complexity while making faster and smarter operational decisions.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Itron Enterprise Meter Data Management
MSIGHTS
Microsoft Azure
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Itron Enterprise Meter Data Management
MSIGHTS
Microsoft Azure
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
Digi International
Founded
1985
Country
United States
Website
www.digi.com/products/iot-software-services/digi-remote-manager
Vendor Details
Company Name
Siemens
Founded
1847
Country
Germany
Website
www.siemens.com/en-us/products/industrial-edge/
Product Features
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