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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

The surge in industrial data and processing at the edge is a direct result of the growing digitalization of distributed assets on the plant floor. As a leader in Industrial Transformation (IX), your goal is to minimize latency for intelligent applications operating outside while also enhancing data processing capabilities at the edge. Recognizing the importance of data security, quality, and lifecycle management for local workloads and governance, you aim to oversee industrial edge devices in a streamlined, scalable, and secure manner. This necessitates establishing a robust foundation for a long-term edge computing strategy that not only ensures the success of edge deployments but also enables operational technology (OT) personnel to efficiently manage devices from any location. Additionally, it is essential to facilitate the effective deployment of applications on these devices, all while reinforcing your overall security posture to safeguard against potential risks. Ultimately, your commitment to advancing edge technology will drive innovation and operational excellence within the industrial sector.

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

Screenshots View All

Screenshots View All

Integrations

MSIGHTS

Integrations

MSIGHTS

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

Rockwell Automation

Founded

1903

Country

United States

Website

www.rockwellautomation.com/en-us/products/software/factorytalk/factorytalk-edge.html

Vendor Details

Company Name

Siemens

Founded

1847

Country

Germany

Website

www.siemens.com/en-us/products/industrial-edge/

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

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