In the previous chapters, we looked at the differences between different types of analytics. We implemented some examples of prognostic and diagnostic analytics in the world of the I-IoT. We also studied how to deploy our analytics on the most common platforms and how to use open source technologies.
In this chapter, we will finalize our exercise by delivering the algorithms developed in Chapter 14, Implementing a Digital Twin – Advanced Analytics. In particular, we want to highlight the major differences between three platforms: AWS, Azure, and GCP. We will discover that all three platforms adopt the same principles of providing a computational infrastructure for training and a service-oriented platform for using the analytical model.
In this chapter, we will explore the following topics:
- Deploying diagnostic analytics using the...
