- Sessions: Neural Nets and Knowledge Management; Machine Learning
The International Symposium on Knowledge Acquisition and Modeling (KAM) is concerned with the aspects of Intelligent Information Processing, acquiring, modeling, managing and exploiting knowledge, and the role of these aspects in the construction of knowledge-intensive systems and Intelligent Information services. It provides a chance for academic and industry professionals to discuss recent progress in the
Abstract: Organizations across all sectors are increasingly undergoing deep transformation and restructuring towards data-driven operations. The central role of data highlights the need for reliable and clean data. Unreliable, erroneous, and incomplete data lead to critical bottlenecks in processing pipelines and, ultimately, service failures, which are disastrous for the competitive performance of the organization.
Abstract: Executives and strategists have long recognized the value of knowledge as a primary driving source for a firm’s sustainable competitive advantage – hence the creation by many firms of a position called the chief knowledge officer (CKO). However, many people have proposed differing perspectives and models relating to the concept of knowledge management.