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Guidance for Self-Calibrating Level 4 Digital Twins on AWS

Project Overview

This Guidance helps you orchestrate and deploy a Level 4 digital twin that is capable of self-calibration based on data from the physical entity and the environment. A Level 4 digital twin ingests Internet of Things (IoT) data and combines this data with probabilistic methods to adjust for maximum accuracy. This architecture provides easy integration of probabilistic methods with heterogeneous data sources to calibrate digital twin models and deliver predictive business outcomes. The modular framework integrates with data visualization capabilities that you can use to review key performance indicators and track other key metrics.

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Guidance for Self-Calibrating Level 4 Digital Twins on AWS