Artificial intelligence (AI) presents new challenges for the user experience (UX) of products
and services. Recently, practitioner-facing resources and design guidelines have become …

Advances in artificial intelligence have enabled unprecedented technical capabilities, yet
making these advances useful in the real world remains challenging. We engaged in a …

Objectives To navigate the field of digital cancer care and define and discuss key aspects
and applications of big data analytics, artificial intelligence (AI), and data-driven …

Implementing machine learning technologies in manufacturing environment relies heavily
on human expertise in terms of domain and machine learning knowledge. Yet, the required …

Advances in artificial intelligence (AI) have enabled unprecedented capabilities, yet
innovation teams struggle when envisioning AI concepts. Data science teams think of …

In the rapidly advancing fields of Artificial Intelligence (AI) and Big Data, creating a robust
and high-quality data foundation is a critical requirement for data-driven projects. However …

Purpose The aim of this case study is to exemplify the application of a change story to
facilitate the user centered introduction of an AI-based assistance system. Thereby, user …

The generation of value from data is a key issue for many incumbent companies in our
modern economy. While they are stuck in traditional business environments, they seek to …

Many data science endeavors encounter failure, surfacing at any project phase. Even after
successful deployments, data science projects grapple with ethical dilemmas, such as bias …

Empirical insights into promising commercial sentiment analysis solutions that go beyond
the claims of their vendors are rare. Moreover, due to the constant evolution in the field …