This invention describes a computer program that creates detailed digital models of complex operations, such as a business or an IT system, by breaking them down into different levels of detail, from how things are done to the actual hardware. It uses these models to predict how various parts of the operation affect each other and how overall risk changes under different conditions. The system specifically identifies potential problems when key performance measures start changing too quickly.
Why it matters: Filed before the widespread adoption of advanced AI/ML for dynamic system modeling and digital twin technologies. The computational demands and data integration challenges of 2019 are significantly reduced by modern cloud infrastructure and more mature AI/ML frameworks, making complex emulation more practical.
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