Organizations operate in a socio-economic context, and alignment with this context is key for business success. The rate of change and impact of these changes on the operating model of the organization appears to be increasing. Major trends are the aftermath of the financial crisis of 2008, the “VUCA” …

This chapter discusses how to build production-ready machine learning systems. There are several challenges involved in accomplishing this, each with its specific solutions regarding practices and tool support. The chapter presents those solutions and introduces MLOps (machine learning operations, also …

The increasing interest and discussion on the topic of AI as well as the Netherlands’ high degree of digitalization incited research on the topic. The goal of this study is to evaluate the current applications and use of AI as well as identifying predictive factors in its lower-than-expected adoption. To …

Autonomously exploring and mapping is one of the open challenges of robotics and artificial intelligence. Especially when the environments are unknown, choosing the optimal navigation directive is not straightforward. In this paper, we propose a reinforcement learning framework for navigating, exploring, …

Autonomous robots require high degrees of cognitive and motoric intelligence to come into our everyday life. In non-structured environments and in the presence of uncertainties, such degrees of intelligence are not easy to obtain. Reinforcement learning algorithms have proven to be capable of solving …

Sufficient physical activity can prolong the ability of older adults to live independently. Community-based exercise programs can be enhanced by regularly performing exercises at home. To support such a home-based exercise program, a blended intervention was developed that combined the use of a tablet …

Addressing and integrating human values into AI design and development processes in research and practice can be di cult, and a clear methodological approach can clarify issues of both theory and prac- tice. One such approach is Value Sensitive Design (VSD), an established theory for addressing issues …

Having learners (K7–10) acquire system thinking skills is challenging. Together with teachers we deploy qualitative representations of complex systems to enable this learning process. Teachers select their own topics for their leaners to work on which makes that lessons vary in content depending on the …

Digitalisering is een onderwerp waar veel bedrijven mee te maken hebben. Machines die ingezet worden in onder andere bouw, infra en industrie zijn voorzien van tal van sensoren waardoor er steeds meer data beschikbaar komt over deze machines. Deze data kan voor field service bedrijven van construction …

Purpose: Artificial intelligence (AI) and automation are currently changing human life with a great implication in the communication field. This research focusses on understanding the current and growing impact of AI and automation in the role of communication professionals to identify what skills and …