Platforms for digital twins
A digital twin’s platform for IIoT is not that different from the analytics platforms studied in the previous chapters. All it needs is sufficient storage support to save the 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, as shown here:
Figure 14.10 – The components of digital twins
In the next sections, we will see some commercial platforms.
Digital twins platforms
There are many platforms that can support digital twins today. The following is a short list:
- AWS SageMaker: AWS recommends that we use SageMaker as the main platform for ML. With SageMaker, we can define our model to train parameters and hyperparameters. We can also store the model to deploy it later either on the cloud or on-premises. The basic idea of SageMaker...
