Digital Twin
Digital twins are transforming our interaction with the environment, acting as the ultimate user interface to the physical world. They are not just digital replicas; they are dynamic, interactive portals that simplify complex systems and enable rapid, informed decision-making.
Harness the power of digital twins
With digital twin technology, organizations aren't just making decisions; they're orchestrating the future. Digital twins empower businesses to enhance efficiency, innovate rapidly and build resilience by simulating scenarios and predicting outcomes. They enable real-time data analysis to anticipate issues, optimize operations and test new ideas virtually, reducing costs and development time.
Manufacturing
Achieve precise control and monitoring of automated systems with seamless human-robot collaboration.
Utilities
Real-time data from sensors and other sources allows for monitoring, analyzing and optimizing operations, as well as predicting problems before they occur.
Healthcare
Virtual replicas of patients or biological systems let researchers and clinicians simulate disease progression, test treatments and personalize medicine using individual patient data.
Smart cities
Include Revit timelapse for new facility construction, and model and mitigate road construction and traffic planning.
Media, Entertainment & Gaming
Create realistic virtual environments for cost-effective film set and game design and develop digital twins of amusement parks for better planning and management.
Retail
Simulate customer journeys to gain insights, optimize store layouts, and enhance product offerings and service delivery for better customer experience and satisfaction.
While use cases will vary depending on the industry, digital twin technology can help organizations realize benefits such as:
Performance monitoring
Monitors equipment and processes in real-time for detailed product-level control, offering insights into profitability, lifecycle value and proactive maintenance.
Process optimization
Simulates scenarios to identify bottlenecks, optimize operations and enhance supply chain processes, leading to significant productivity gains, reduced costs and improved efficiency.
Data-driven decision-making
Integrates financial and non-financial data to serve as a single source for better analytics, supporting strategic and informed decision-making.
Product development and quality
Refines and simulates designs to speed up innovation, reduce time-to-market, and synchronize production processes for faster product development.
Supply chain efficiency
Provides real-time visibility and data to create virtual models that anticipate risks, improve inventory management, enhance supply chain efficiency and build resilience against disruptions.
Risk assessment
Models risk to enhance cost management, assess risks and improve strategies for industries like insurance.
Energy efficiency
Optimizes energy consumption to create efficient production facilities, reduce costs, minimize environmental impact and ensure sustainability compliance.
Training
Offers a safe, virtual environment for employee training and skill development.
Explore what's trending in digital twin technology
Digital Twins Mean Business
Gemini Mundi: Creating Digital Twins at City Scale
Digital Twins in Manufacturing: Separating Hype from Reality
Four Phases for Building Digital Twins at Scale | Research
Comprehensive digital twin development
Utilizing the diverse AI Proving Ground lab environments and following this detailed methodology, WWT tailors digital twin solutions to meet your unique needs, delivering engaging and reliable user experiences.
- Client consultation: We begin by identifying the catalyst for exploring digital twins—the "why." Next, we uncover your specific needs and the context in which the digital twin technology will be used. This involves detailed discussions and identifying the most relevant scenarios for your industry and audience.
- Scenario planning: Based on the consultation, we help develop potential use cases. For example, in the manufacturing industry, we might explore scenarios where digital twins are used to achieve outcomes such as predictive maintenance, real-time monitoring, improving plant yield, product quality and speed to market.
Technology selection: Leveraging advanced platforms, we then define the infrastructure architecture and design the digital twin solution to include features like AI, machine learning, IoT and high-performance computing. This allows the solution to simulate and analyze real-time data effectively.
Customization: We tailor the solution's functionalities to align with your brand identity and operational requirements.
Initial development: We create a prototype for you to review. This prototype serves as a preliminary version to gather feedback and make necessary adjustments.
Client feedback: You are presented with the prototype for detailed feedback. This iterative process helps the final version meet your requirements and expectations earlier on in the process.
Creative problem-solving: Throughout the development process, we address any technical challenges that may arise.
Additional functionality: We enhance the prototype with the functionality and features that you request so the completed solution meets all your specific needs.
Quality assurance: We conduct extensive testing to confirm the solution's accuracy and performance, ensuring the overall user experience is polished.
Collaborative effort: Our development team works collaboratively to identify and resolve any issues, ensuring the solution performs flawlessly and is inclusive of User Acceptance Testing (UAT).
System architecture: After successful testing, the solution is deployed in your environment—in the cloud, at the edge or on-premises—with a robust system architecture.
Training and documentation: We provide comprehensive training and documentation, including written instructions, to help your team effectively operate and demonstrate your digital twin technology capabilities.
AI Proving Ground environments
The AI Proving Ground contains multiple pre-defined multi-OEM architectures and almost limitless custom configurations. This enables building, testing, training and validation of all the components of enterprise AI solutions.
Digital Twin: Dynamic Transformation across Industries
Jason Craig, WWT Chief Technology Advisor, gives a behind the scenes look into the technical components of digital twins. This applies to every industry where you can combine physical systems with the digital world. WWT takes you on a journey from one small starting point all the way to a full operational view.
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