The use of algorithmic tools by journalists for information-gathering has received particular attention in recent years. While it might facilitate the research process, there are also concerns about their impact on journalism. Based on reconstruction interviews with 27 journalists, we first answer the …

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 …

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. …

Founded in 2014, Dashmote was a rapidly growing and globally operating Software as a Service (SaaS) company based on its Artificial Intelligence (AI), natural language processing and visual recognition technologies. The founders aimed to guide people toward success in an AI and data-driven world by improving …

Key to reinforcement learning in multi-agent systems is the ability to exploit the fact that agents only directly influence only a small subset of the other agents. Such loose couplings are often modelled using a graphical model: a coordination graph. Finding an (approximately) optimal joint action for …

We present a novel architecture for an AI system that allows a priori knowledge to combine with deep learning. In traditional neural networks, all available data is pooled at the input layer. Our alternative neural network is constructed so that partial representations (invariants) are learned in the …

In the field of management science and business administration, the case method is gaining ground in research and in teaching. Case studies support on the one hand exploratory research and on the other hand problem-based teaching. However, we find that case research and case teaching remain unchained …

Het ontwrichtende effect van de digitale transformatie is onmiskenbaar. Een belangrijke component van een digitale transformatie is de digitale strategie. Die moet helder maken wat een organisatie wil bereiken met data en technologie.

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 …