Digital twin

A digital twin is a virtual representation of a physical object, process or system that is used to simulate, analyze and optimize its real counterpart. This digital model integrates data from sensors, IoT devices, and other sources to provide a comprehensive view of an asset's current state, past performance, and future behavior.

Digital twins are increasingly gaining traction in industries such as manufacturing, healthcare, automotive and smart cities, enabling organizations to increase efficiency, reduce costs and improve decision-making.





Digital twins are transforming industries by providing real-time insight, predictive analytics and enhanced decision-making capabilities. As technology advances, the potential for innovation and efficiency gains in areas such as manufacturing, healthcare, automotive, smart cities and aviation is huge. Organizations that embrace digital twins will be well positioned to lead in the digital age and deliver exceptional value to customers and stakeholders.

Key design benefits
digital twin:

- Physical assets
- Digital model
- Data connection
- Simulation and analysis
- User Interface
- Increased operational efficiency
- Improved decision making
- Cost reduction
- Innovation and product development:
- Improved customer experience

Digital Twin Application:

- Production
- Healthcare
- Automotive
- Smart Cities
- Aerospace

What do we take into account in the actual digitisation?

- Data integration
- Security and data protection
- Scalability and complexity
- User adoption and training
- Cost and investment

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