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There’s likely digital twins in your future.

That’s because more and more organizations are turning to digital twins for all the benefits this technology offers.

A digital twin is a virtual representation of an object or system that spans its lifecycle, is updated from real-time data, and uses simulation, machine learning and reasoning to help decision-making.

Organizations from healthcare and facilities management to product design have turned to digital twin technology. Digital twins have been particularly useful in the manufacturing sector, where comparing products and their manufacturing conditions can help identify why some batches have more variability, defects, or inefficiencies.

In general, other digital twin benefits include:

  • Accelerated risk assessment and production time
  • Predictive maintenance
  • Real-time remote monitoring
  • Better team collaboration
  • Better financial decision-making

In general, building and scaling a digital twin requires a three-step approach: creating a blueprint, building the initial digital twin, and then boosting its capabilities.

Many experts in this field believe that the first step, creating the blueprint, is the most crucial stage in building a digital twin. This includes aligning stakeholders on a clear vision of a digital twin.

A blueprint should define the types of twins the organization will pursue, the order for building them to maximize value and reusability, the way their capabilities will evolve, and their ownership and governance structures.

Want to learn more? Tonex offer Fundamentals of Digital Twins, a 2-day course that covers the key principles of Digital Twins and how it relates to integration of digital engineering, modeling and simulations, AI/ML, 3D and integration for service and product-related data and systems.

Participants will learn all about digital twin technology, such as:

  • Key concepts behind digital engineering and digital twin
  • History of digital twin technology
  • How does a digital twin work?
  • Virtual representation of an object or system that spans its lifecycle
  • Digital twin use cases and applications
  • Advantages and benefits of digital twins
  • Key enabling technologies

For more information, questions, comments, contact us.

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