The INNOTWIN project, or Data Spaces and Digital Twins for a Competitive, Sustainable, and Efficient Industry, is part of Mission 3: Boosting Spanish Industry in the 21st Century Industrial Revolution. It focuses on industrial research in various technological areas for integration into the field of Digital Twins (DTs henceforth). The research lines proposed by the project will enable the application of innovative technologies (Artificial Intelligence, Big Data, or the Internet of Things) and their efficient integration into the development of a new data space concept for enabling DTs. This will have a cross-cutting impact, enhancing the sustainability of numerous productive sectors while also increasing competitiveness and efficiency in their processes. Specifically, Gradiant contributes by researching new anomaly detection algorithms (UEBA and Process Mining) associated with logs and variables from industrial processes.
