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What is digital twin technology?
Digital twin technology empowers 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:
Product design and development
Simulate and test product designs in a virtual environment before physical prototypes are built, reducing development time and costs.
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.
Data-driven decision-making
Provide organizations with real-time data and analytics, enabling informed decision-making and rapid responses to changing conditions.
Sustainability
Model the environmental impact of products and processes like energy consumption to help organizations make more sustainable choices.
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.
Want to keep learning?
Digital Twin - Metaverse Briefing
IT Infrastructure and Operations Landscape Report in the AI Era
Gemini Mundi: Creating Digital Twins at City Scale
How High-performance Computing Can Impact Sustainability Efforts
Four Phases for Building Digital Twins at Scale | Research