The challenges of the convergence of Data, AI, Cloud, Blockchain, IoT and Cybersecurity

The purpose of this article is to explain the relationships (dependencies, interdependencies, interrelationships, benefits) between Data, AI, Cybersecurity, Cloud, IoT and Blockchain, and to understand their consistency. The link between all these fields leads us towards a new convergence which makes possible their interoperability, their security and their standardization. We thus provide a summary of the state of the art and we also present an inventory of standardization, methods and actors in the field, as well as the use cases identified in the literature. Why and how can we think of the "convergence" of Data, AI, Cloud, Blockchain, IoT and Cybersecurity? What types of relationships do these technologies have?