Explore the possibilities of digital twin technology

Digital twins empower organizations to simulate scenarios for innovation, process improvement, long-term planning and decision-making. By harnessing digital twins in lieu of physical assets, organizations can potentially save resources and time and mitigate safety risks while avoiding unforeseen modifications.

 

Check out the full video to learn about the four phases of building digital twins at scale.

Use cases

Manufacturing: Predict system changes, control systems at various levels, leverage AI-driven insights, simulate scenarios, visualize physical subjects, and test interoperability to reduce complexity and optimize processes across the lifecycle

Healthcare: Use AI to analyze data from a patient's digital twin to develop personalized treatment plans and predict potential health risks. Predict equipment failure by analyzing real-time data, enabling proactive maintenance  

Smart cities: Model urban environments, simulate traffic patterns, and optimize resource allocation.

Utilities: Simulate and analyze energy usage patterns to optimize resource utilization and lower energy costs

Benefits

While use cases will vary depending on the industry, digital twin technology can help organizations realize benefits such as:

Use cases

Product design and development

Simulate and test product designs in a virtual environment before physical prototypes are built, reducing development time and costs.

Use cases

Predictive maintenance

Monitor the condition of physical assets in real-time, allowing for early detection of issues to prevent costly breakdowns and minimize unplanned downtime.

Use cases

Data-driven decision-making

Provide organizations with real-time data and analytics, enabling informed decision-making and rapid responses to changing conditions.

Use cases

Sustainability

Model the environmental impact of products and processes like energy consumption to help organizations make more sustainable choices.

Use cases

Training

Allow employees to gain experience and expertise in a safe, virtual environment.

WWT's methodology

Through the combination of our consultants and technical architects, the comprehensive AI Proving Ground ecosystem, our massive partner ecosystem, and robust implementation capabilities, we help our clients design, build and deploy digital twin solutions that achieve their business goals. 

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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.
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