The IT for Innovative Services (ITIS) department, with its 100 researchers and engineers, focuses on the digital transformation of operations in organizations with traditional environments and digital ecosystems, with the aim of improving their performance and innovation capacity. The common thread throughout ITIS is to develop the most efficient use of big data to ensure the most appropriate decision-making processes.
Data Science and Analytics / Trusted Service Systems
LIST’s cognitive environment lab enables the simulation of different environments with augmented or virtual reality and is equipped with a controlled experiment room with observation, actuation and feedback tools, such as AR/VR and tangible tables. Within the context of a national European Regional Development Fund (FEDER) project, LIST is in the throes of setting up a state-of-the-art data analytics platform allowing for Big Data exploitation with new advanced analytics components (Watson, SAP, etc.).
A comparison framework of machine learning algorithms for mixed-type variables datasets: A case study on tire-performances prediction
On Domain Modelling and Requisite Variety: Current State of an Ongoing Journey