Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Enables clients to independently manage their needs through a user-friendly online portal. Intuitive customer service dashboards offer immediate insights to enhance interactions with customers. The incorporation of predictive analytics and proactive field engagement significantly enhances the efficiency and quality of resolving issues. Continuous monitoring and assurance of services for CPE management work to minimize inefficiencies and costs, elevate subscriber satisfaction, and support the implementation of next-generation services. Utilizing advanced analytics and visual representations assists in addressing business-level obstacles, facilitating proactive decision-making, and effectively overseeing operations across various domains, including workforce management and sales/marketing. Furthermore, it ensures the optimization of network performance and reliability, alongside comprehensive reporting and analysis of network performance trends. This comprehensive approach not only streamlines processes but also fosters a more responsive and agile operational environment.
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
No
API Access
Has API
No
Integrations
CDG Elements
Yes
MSIGHTS
No
Microsoft Dynamics 365
Yes
Panacea
Yes
Integrations
CDG Elements
No
MSIGHTS
Yes
Microsoft Dynamics 365
No
Panacea
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
ETI Software Solutions
Founded
1992
Country
United States
Website
etisoftware.com
Vendor Details
Company Name
Siemens
Founded
1847
Country
Germany
Website
www.siemens.com/en-us/products/industrial-edge/
Product Features
Mobile Device Management (MDM)
Automatic Device Recognition
No
Data Management
No
Deployment Management
No
Inventory Management
No
Maintenance Utilities
No
Procurement Management
No
Remote Update / Installation
No
Software Management
No
Synchronization Management
No
Wireless Network Support
No
User Provisioning and Governance
Access Governance
No
Access Verification Workflow
No
Audits / Reports
No
Automatic Provisioning / Deprovisioning
No
Delegated Access Authorization
No
Identity Synchronization
No
Lifecycle Management
No
Multi-Factor Authentication (MFA)
No
Password Management
No
Policy Enforcement
No
Single Sign-On (SSO)
No
User Self-Service
No
Product Features
Industrial IoT
Condition Monitoring
No
Data Visualization
No
Factory Data Analytics
No
Machine Learning
No
Machine Workflow Creation
No
Predictive Maintenance
No
Production Line / Factory Insights
No
Real-Time Monitoring
No
Reporting / Analytics
No
Smart Alerts / Notifications
No
IoT
Application Development
No
Big Data Analytics
No
Configuration Management
No
Connectivity Management
No
Data Collection
No
Data Management
No
Device Management
No
Performance Management
No
Prototyping
No
Visualization
No