Starting from a data warehouse just makes sense. Of course, the architectural thinking and technology offer valuable intellectual capital to IT. But the real value comes from the decades of experience in information/data governance and management, as well as the interpersonal and organizational skills that DW implementers have gathered. As you will see from the articles in this issue, the contributors are on the same path.
This Executive Update presents a methodology and a set of tools designed to support the software development process based on the collection and analysis of a large set of
Trust and knowledge-based relationships are the glue that holds together the disaggregated virtual enterprise, far more than the transactions that are exchanged in shared information systems.
E-projects are large projects that must be delivered rapidly, are both research-like and mission-critical, and have to be managed in a turbulent business and technology environment.
Keng Siau and Weiyu Wang examine prevailing concepts of trust in general and in the context of AI applications and human-computer interaction in particular. They discuss the three types of characteristics that determine trust in this area: human, environment, and technology. They emphasize that trust building is a dynamic process and outline how to build trust in AI systems in two stages: initial trust formation and continuous trust development.