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Description
Leverage your current IoT, video, and enterprise application data in its existing location, eliminating the need for data reingestion or relocation. Benefit from an automatically created knowledge graph that interconnects your data sources with virtual representations of physical systems, enabling precise modeling of real-world scenarios. Experience an immersive 3D visualization of your operations and systems, enhancing efficiency, boosting production, and elevating performance levels. AWS IoT TwinMaker simplifies the process for developers to create digital twins of tangible systems, including buildings, factories, industrial machinery, and production lines. With AWS IoT TwinMaker, you gain access to essential tools for developing digital twins that optimize building management, augment production capacity, and enhance equipment functionality. Additionally, by utilizing data from various sources, you can construct virtual models of any physical setting while integrating existing 3D models with real-time data for comprehensive insights. This capability allows for a more informed decision-making process, ultimately driving better outcomes in operational strategies.
Description
Utilizing sophisticated analytics and machine learning techniques is essential for minimizing operational expenses and mitigating risks. A fundamental component of the digital transformation landscape, digital twins provide precise virtual representations of tangible assets, systems, and objects to enhance productivity, optimize processes, and drive profitability. Typically, a digital twin is regarded as a software model of a physical asset or system that is tailored to identify, avert, predict, and refine processes through real-time analytics, ultimately delivering significant business advantages. At GE Digital, our emphasis lies in leveraging digital twin software to assist our clients in three primary domains: Asset, Network, and Process. By effectively monitoring, simulating, and managing an asset, process, or network, organizations can significantly elevate system performance. Furthermore, it is crucial to ensure the well-being and safety of employees and the environment while achieving business goals by minimizing incidents related to assets and processes, as well as preventing unintended downtimes, thereby fostering a more resilient operational framework. The integration of digital twin technology not only enhances efficiency but also paves the way for innovation across various sectors.
API Access
Has API
API Access
Has API
Pricing Details
$1.50 per million calls
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
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/iot-twinmaker/
Vendor Details
Company Name
GE Digital
Founded
2015
Country
United States
Website
www.ge.com/digital/applications/digital-twin
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
Product Features
Simulation
1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling