Enterprises as model-driven systems
In this lecture, we will look at enterprises (companies, organizations, agencies, factories, etc.) from the perspective of them being essentially model-driven systems. We will start with a refelection on what a model is, where it is important to realize that the notion of model involves more than “boxes and lines” diagrams. From this broader perspective, we then briefly explore the natural role that models play in the (continous) development, operation, and regulation of enterprises. new technologies, such as AI, low-code, rule engines, IoT, Digital Twins, etc., provide additional drivers and enablers for the usage of models (in the broader sense) in enterprises. At the same time, some of these technologies (e.g. low-code, rule engines, big data, and explainable AI) actually put even more stress on the role of models. Based on this exploration, we then return to the more fundamental question of the value of models. When creating and using models in an enterprise context it becomes important to consider its costs and benefits. The creation, administration, and use, of such domain models requires an investment in terms of resources (time, money, cognitive effort, etc.). We contend that such investments should be met by a (potential) return. In other words, the Return on Modelling Effort (RoME).
Lecture at NEMO2022
Date/Time: Tuesday, July 12, 2022 at 15:00