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What is Live Earth?

Imagining the future city requires the adoption of sophisticated data visualization and management tools that facilitate the analysis of data streams, support the management and oversight of various systems, and prioritize the safeguarding of the environment, urban infrastructure, investments, and, most importantly, the well-being of residents. By creating a digital twin, city officials and department leaders can quickly act on real-time data, which is vital for improving the urban experience that contemporary cities aim to provide. This cutting-edge smart city data visualization and management platform empowers urban planners, department heads, and government entities to significantly reduce infrastructure costs and service demands. With its advanced features, the platform allows for comprehensive monitoring of all systems and their interconnections, equipped with established alerts that promote proactive management of city infrastructure components such as streetlights, surveillance systems, public transportation, road conditions, and beyond, all while decreasing the need for staffing through innovative Digital Twin technology. In the end, this strategy not only boosts operational efficiency but also cultivates a safer and more adaptive urban setting for every citizen. Moreover, the integration of such technologies promises to enhance community engagement and improve the overall quality of life in urban spaces.

What is Digital Twin Studio?

The Data-Driven Digital Twin toolkit enables real-time visualization, monitoring, and optimization of operations through the use of machine learning and artificial intelligence, effectively managing costs associated with SKUs, resources, automation, equipment, and more. Featuring Digital Twin Shadow Technology, this system provides real-time visibility and traceability via its Open Architecture, allowing seamless interaction with various RTLS and data systems, including RFID, barcode, GPS, and various management software like WMS, EMR, ERP, and MRP. With the integration of AI and machine learning, users benefit from predictive analytics and dynamic scheduling, as the technology offers timely insights and alerts about potential issues before they escalate. Additionally, the Digital Twin Replay feature allows users to revisit past events and configure active alerts, while the Digital Twin Studio supports the playback and animation of these events in virtual reality, 3D, and 2D formats. Furthermore, the tool provides dynamic dashboards with a user-friendly drag-and-drop builder, offering limitless customization options for data presentation and analysis. This comprehensive digital twin solution empowers organizations to enhance efficiency and gain deeper insights into their operational processes.

Media

Media

No images available

Integrations Supported

SQL

Integrations Supported

SQL

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Live Earth

Date Founded

2015

Company Location

United States

Company Website

www.liveearth.com/industry-solutions/smart-cities-connected-communities/

Company Facts

Organization Name

CreateASoft

Date Founded

1992

Company Location

United States

Company Website

www.createasoft.com

Categories and Features

IoT Analytics

Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Manufacturing Intelligence

Aggregation
Analysis
Contextualization
KPIs
Propagation
Visualization

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