- For digital systems to have control of the physical world, they must represent it, control its representation, and apply this control to reality.
- Furthermore, the virtual representation has to be perfectly accurate in order to be useful. This extends to their behavior.
- The digital twin of an aircraft engine is not only statically replicated; it also works like its real counterpart. As a result, all engineering changes, test runs, and maintenance can be performed on it before being performed in the real world,
- The notion of “twin objects” can be expanded to digital representations of people, thought and business processes, and even complete enterprises.
- These models not only contain current states and connections, but also observed and projected behavior.
- All thought and decision-making processes use these digital representations, removing the discontinuity that separates virtual and real worlds.
- Entering Twin Worlds requires a mindset change to understand how digital systems actually reflect and control the real world.
- Accepting errors, inaccuracies, or latency is replaced by the constant demand for both accuracy and control. It requires a consistent data landscape where governance, trust, and accessibility are core concerns within the fabric of the Twin Worlds.
- A virtual representation of the real world needs to be built up step by step, incorporating an increasingly better understanding of the key real-world assets and an improved ability to translate them into digital terms.
- The digital twin of a physical object can be tangible enough but augmented or virtual reality can make it life-like even if the complex ones are difficult to recreate.
- The twins of persons, processes, or institutions are less tangible, and are consequently challenging to grasp.
- The key is to constantly take a virtual world perspective: how do consumers, corporations, and products behave digitally, and how is this translated into the next-generation digital IT landscape?