The digital twin platform refers to a virtual layer that starts with the acquisition of real field data, and ends with the provision of the insights for the decision-making to the operators via the managerial tools’ user interfaces. Between these two ends, a set of interconnected building blocks exists—such as digital models, databases, algorithms, and analytical tools—are developed, continuously updated, and intelligently orchestrated. These building blocks,referred to as service functions, work together to transform raw data into meaningful information for end users/operators. Unlike traditional approaches, where digital twins are mainly confined to the design phase, modern digital twins provide service throughout the entire lifecycle. Recent advances in state-of-the-art artificial intelligence, big data analytics,and the Internet of Things have created unprecedented opportunities to accelerate this digital transformation. In this lecture, several real-life examples from ongoing EU-funded projects will be presented including a platform that matches fleet vehicles to specific operational needs, a tool for real-time performance evaluation and strategic planning; and a cyber-secure platform that anticipates degradation and planned maintenance, with a particular focus on power electronics components.