A digital twins platform is not that much different from the analytics platforms studied in the previous chapters. All it needs is sufficient storage support to save the current status of the model and to manage the life cycle of the digital twin. In other words, digital twins require the model to be tuned initially. They also require the real asset and the digital asset to be synchronized periodically:
The components of digital twins
The platforms that can support digital twins today include AWS, Predix, and Google Cloud Platform (GCP).