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 a digital twin, 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.  

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Manufacturing

Achieve precise control and monitoring of automated systems with seamless human-robot collaboration. 

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Utilities

Real-time data from sensors and other sources allows for monitoring, analyzing and optimizing operations, as well as predicting problems before they occur. 

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Healthcare

Virtual replicas of patients or biological systems let researchers and clinicians simulate disease progression, test treatments and personalize medicine using individual patient data. 

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Smart cities

Include Revit timelapse for new facility construction, and model and mitigate road construction and traffic planning. 

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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.

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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:

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Performance monitoring 

Monitors equipment and processes in real-time for detailed product-level control, offering insights into profitability, lifecycle value and proactive maintenance. 

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Process optimization

Simulates scenarios to identify bottlenecks, optimize operations and enhance supply chain processes, leading to significant productivity gains, reduced costs and improved efficiency. 

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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. 

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Product development and quality 

Refines and simulates designs to speed up innovation, reduce time-to-market, and synchronize production processes for faster product development. 

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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. 

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Risk assessment 

Models risk to enhance cost management, assess risks and improve strategies for industries like insurance.

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Energy efficiency 

Optimizes energy consumption to create efficient production facilities, reduce costs, minimize environmental impact and ensure sustainability compliance. 

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Training 

Offers a safe, virtual environment for employee training and skill development. 

Explore what's trending in digital twins

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Digital Twins Mean Business

A new age is dawning for extended reality (XR) and digital twins. Here are 9 steps to developing successful digital twin projects.
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Gemini Mundi: Creating Digital Twins at City Scale

A brief history of digital twins and their role in training, simulating, planning, researching and testing complex AI/ML models at massive scale.
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Digital Twins in Manufacturing: Separating Hype from Reality

Explore the benefits, challenges and best practices of implementing digital twin technology in the manufacturing industry.
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Four Phases for Building Digital Twins at Scale | Research

As data pervades all aspects of the business, leaders are increasingly turning to digital twin technology to put that data to work in real-time and create a more efficient, proactive and secure organization. But creating digital twins at scale is complex and multifaceted, requiring many tools and technologies to bring to fruition. Join WWT Chief Technology Advisor Jason Craig as he dives into the evolving world of digital twins. Using a recent WWT Research paper on building digital twins at city scale as a jumping off point, Jason details the four general phases of digital twin creation and how it might apply to your business.

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 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 solution's capabilities. 

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Environments

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.

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