Listen "#38 - Digital Twin for Decision Intelligence (DT4DI)"
Episode Synopsis
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This podcast explains the DT4DI is a framework that combines digital twins, artificial intelligence (AI) and decision intelligence to improve decision-making processes.
It utilises digital twins, which are virtual replicas of physical systems that are updated with real-time data, to simulate scenarios and predict outcomes. By combining AI and machine learning, DT4DI enables companies to convert data into actionable insights, which helps with strategic decision-making. This approach helps organisations to move beyond traditional business intelligence by using advanced technologies to become knowledge-driven and results-oriented.
The key components of a DT4DI system are:
digital twin (DT) platforms
artificial intelligence (AI) and machine learning (ML)
decision intelligence (DI) framework
data management and analytics
These components work together to enable organisations to make data-driven decisions more efficiently.
This podcast explains the DT4DI is a framework that combines digital twins, artificial intelligence (AI) and decision intelligence to improve decision-making processes.
It utilises digital twins, which are virtual replicas of physical systems that are updated with real-time data, to simulate scenarios and predict outcomes. By combining AI and machine learning, DT4DI enables companies to convert data into actionable insights, which helps with strategic decision-making. This approach helps organisations to move beyond traditional business intelligence by using advanced technologies to become knowledge-driven and results-oriented.
The key components of a DT4DI system are:
digital twin (DT) platforms
artificial intelligence (AI) and machine learning (ML)
decision intelligence (DI) framework
data management and analytics
These components work together to enable organisations to make data-driven decisions more efficiently.
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