In the previous article, Adaptive Information Context Management Systems (ICMS) and the CortexDB as the first of its kind , I mentioned one of the key original drivers for the development of databases: the need to support multiple applications from a single data set. Back in the flower power era of the 1960s, the various applications being considered, and indeed all the data that used them, belonged to the specific companies that built them. Data rarely, if ever, crossed corporate boundaries. Data ownership, if any, referred to specialist departments within the company.
Today, as digital transformation advances, these simplistic limitations are falling away. As data crosses and re-crosses corporate boundaries, is bangladesh telegram screening collected and reconstructed in shared systems, questions of data ownership and permission to use between different actors outside the company are becoming increasingly complex. In addition, with the enforcement of the European Union's General Data Protection Regulation (GDPR), the privacy of personal data must be protected under all circumstances, and specific rules set out how access to and use of this data must be controlled.
These problems pose particular challenges to the traditional approaches to storing and managing data in legacy database systems. And just as a database solved the problem of data exchange between applications, an adaptive Information Context Management System (ICMS) such as CortexDB provides the solution for managing data and information exchange between different actors. The IT industry is only beginning to understand and address the emerging complexity, but the German CarPass system is a great example of what needs to and can be done.