In the Software Development Life Cycle (SDLC), Development and Operations (DevOps)
has been proven to deliver reliable, scalable software within a shorter time. Due to the …

Today, many industrial processes are undergoing digital transformation, which often
requires the integration of well-understood domain models and state-of-the-art machine …

Deep learning (DL) based software systems are difficult to develop and maintain in industrial
settings due to several challenges. Data management is one of the most prominent …

The rapid advancement of large language models (LLMs) has revolutionized artificial
intelligence, introducing unprecedented capabilities in natural language processing and …

High data quality is fundamental for today's AI-based systems. However, although data
quality has been an object of research for decades, there is a clear lack of research on …

Action research (AR) involves one or more researchers and a client organisation. Many
guidelines for and reports of the research method have been published. However, the …

Mathematical modeling can help the medical community to more fully understand and
explore the physiological and pathological processes within the human body and can …

Machine learning (ML) models in production pipelines are frequently retrained on the latest
partitions of large, continually-growing datasets. Due to engineering bugs, partitions in such …

The rapid development of Machine Learning (ML) has demonstrated superior performance
in many areas, such as computer vision and video and speech recognition. It has now been …

The adoption of Artificial Intelligence (AI) in high-stakes domains such as healthcare, wildlife
preservation, autonomous driving and criminal justice system calls for a data-centric …