Service robots provide retailers with new opportunities to innovate their in-store service offerings. Despite advances made in the fields of human-robot interaction, information systems, and marketing, there is relatively little known about how to apply a service robot in retailing. In this paper we …

B4B is a multi-year, multi-stakeholder project focused on developing methods to harness big data from smart meters, building management systems and the Internet of Things devices, to reduce energy consumption, increase comfort, respond flexibly to user behaviour and local energy supply and demand, and …

Powerpresentatie tijdens CORAL symposium.

Multilevel models (MLMs) are increasingly deployed in industry across different functions. Applications usually result in binary classification within groups or hierarchies based on a set of input features. For transparent and ethical applications of such models, sound audit frameworks need to be developed. …

We investigate a computer supported approach in which pairs co-con-struct a qualitative representation of the dynamics of the industrial revolution in a shared workspace. A key feature of this approach concerns the use of a meta-vocabulary for representing cause-and-effect relationships that facilitates …

Remaining Useful Life (RUL) estimation is directly related with the application of predictive maintenance. When RUL estimation is performed via data-driven methods and Artificial Intelligence algorithms, explainability and interpretability of the model are necessary for trusted predictions. This is especially …

In the book, 40 experts speak, who explain in clear language what AI is, and what questions, challenges and opportunities the technology brings.

Explainable artificial intelligence (xAI) is seen as a solution to making AI systems less of a “black box”. It is essential to ensure transparency, fairness, and accountability – which are especially paramount in the financial sector. The aim of this study was a preliminary investigation of the perspectives …

Systematic literature review on digital transformation skills

Introduction This study aims to advance theoretical development on digital transformation (DT) skills that are essential for sustainable employment. Rapid and continuous advancements of digital technology, such as increased automation, artificial intelligence (AI), big data, cloud computing, robotics …