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Interactive Machine Learning: Managing Information Richness in Highly Anonymized Conversation Data
(Springer, 2019)
This case study focuses on an experiment analysing textual conversation data using machine learning algorithms and shows that sharing data across organisational boundaries requires anonymisation that decreases that data’s ...
Big Data Governance in Agile and Data-Driven Software Development
(IGI Global, 2018)
Constructing a big data governance framework is important when a company performs data-driven software development. The most important aspects of big data governance are data privacy, security, availability, usability and ...
Mapping the Future Curriculum: Adopting Artificial Intelligence and Analytics in Forecasting Competence Needs
(Academic Conference Publishing International, 2019)
One of the biggest challenges in the design of a work-related curriculum is to make sure that the curriculum is up-to-date and uses the same vocabulary as the work setting. This may sound easy, but if almost any curriculum ...
Forecasted Self: AI-Based Careerbot-Service Helping Students with Job Market Dynamics
(MDPI, 2023)
In this article, we introduce an AI-enhanced study planning solution named Careerbot, which is a service designed to help students with their “forecasted self”. We define a new term “forecasted self” to mean a future-oriented ...



