Digital Twins are a management model that are bridging the gap between physical and digital worlds, improving situational awareness and in turn, decision making. Digital Twins are representations of physical assets, people or processes and are developed to support new or enhanced business objectives.
Whilst the Digital Twin concept is not new, it has rapidly evolved due to the advancement of supporting technologies, such as IoT, AI, Big Data and Cloud. As a result, a near perfect copy of the physical world can now be simulated.
2. Advanced Digital Twin capabilities include
Integration:
Can be used as a centralized asset or process model linked to other systems, through APIs and event streams.
Data:
Advancements in IoT technology, allowing for real-time monitoring and control.
Al:
Application of advanced big data analytics and artificial intelligence to drive new analysis and business opportunities.
Scenario Planning:
Ability to evaluate sophisticated "What If" scenarios.
Commercialization:
Emergence as commercial objects that can be used to support new business models, centered around guaranteed outcomes, such as specific asset performance guarantees.
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