In the past decade, the deployment of deep learning (Artificial Intelligence (AI)) methods has
become pervasive across a spectrum of real-world applications, often in safety-critical …

The public sector, private firms, and civil society constantly create data of high volume,
velocity, and veracity from diverse sources. This kind of data is known as big data. As in …

Compound AI systems (CASs) that employ LLMs as agents to accomplish knowledge-
intensive tasks via interactions with tools and data retrievers have garnered significant …

Data governance (DG) is a framework to manage data as a strategic enterprise asset. It is
used to define and communicate an organization's accountability for data as well as …

Individuals and organizations cope with an always-growing data amount, heterogeneous in
contents and formats. Prerequisites to get value out this data and minimise inherent risks …

The proliferation of data has become an inevitable consequence of the digital age as
individuals across all domains increasingly rely on data for various purposes. Both …

Data are often the foundation of digital innovation and are seen as a highly valuable asset
for any organization. Many companies aim to put data at the core of their business, but …

The public sector, business community, and civil society are producing data that are high in
volume, veracity, and velocity and come from diverse sources. Today, this type of data is …

This dissertation used design science research to create a relationship mapping and
automatic documentation tool in the relational database management system (RDBMS) …

Towards digitalization era, data plays an important role especially in public sector. Providing
reliable and irredundant data are among the requirement to be filled by the government …