Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Azure Digital Twins serves as an Internet of Things (IoT) platform that allows for the development of digital replicas of tangible objects, locations, business workflows, and individuals. By leveraging this technology, organizations can obtain valuable insights that enhance product development, streamline operations and reduce costs, while also delivering exceptional customer experiences. The platform facilitates the straightforward modeling and creation of digital representations for interconnected environments using an open modeling language. You can model a variety of structures, including buildings, factories, farms, energy grids, railways, stadiums, and even entire cities. These digital twins are animated through a real-time execution environment that tracks changes over time. Additionally, it provides actionable insights into the dynamics of the modeled environments through robust query APIs, while also seamlessly integrating with Azure's data analytics capabilities. The open modeling language empowers users to design customized domain models for any connected setting, utilizing the Digital Twins Definition Language for enhanced flexibility and creativity in their applications. This enables a wide range of industries to optimize their operations and innovate more effectively.
Description
Introducing a groundbreaking 4D Infrastructure designed to shape the industrial metaverse, this platform enables large-scale industrial enterprises to measure, analyze, and seamlessly integrate AI-driven automation into their foundational operations. By creating live digital replicas of actual processes, we capture ground-level activities and convert them into real-time data streams. Our advanced AI technology then discerns critical variances that lead to inefficiencies, reduced output, and unsafe working conditions, all in an instant. This empowers clients to rethink and automate their workflows, tapping into previously unrecognized value. Utilizing contextual insights, our sensors work in tandem to validate and enhance the reliability of collected data, revealing the true dynamics of personnel and operations. The journey begins with the automatic integration of data from 3D models and 2D layouts, allowing us to accurately map out the physical environment, including the positioning and functionalities of all existing sensors within the facility, ensuring a comprehensive understanding of the operational landscape. This innovative approach not only streamlines processes but also fosters a culture of continuous improvement and operational excellence.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Azure Marketplace
ICONICS' Intelligent Building Software (IBSS)
Microsoft 365
Microsoft Azure
NCC Compliance
Integrations
Amazon Web Services (AWS)
Azure Marketplace
ICONICS' Intelligent Building Software (IBSS)
Microsoft 365
Microsoft Azure
NCC Compliance
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
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/digital-twins
Vendor Details
Company Name
Worlds
Country
United States
Website
worlds.io
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)