Abstract: Purpose: This paper aims to investigate emerging trends in data analytics and knowledge management (KM) job market by using the knowledge, skills and abilities (KSA) framework. The findings from the study provide insights into curriculum development and academic program design. Design/methodology/approach: This study traced and retrieved job ads on LinkedIn
data science
Historical Analysis of Knowledge Management Curricula
Abstract: Purpose: The current study aims to analyze the curriculum of selected knowledge management (KM) programs at universities in the USA, Europe, Australia and Asia within current and historical contexts to understand the scope and nature of the requirements in KM programs. By comparing the results from programs, a baseline understanding of what the
International IFIP Cross Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE)**
- In conjunction with the International Conference on Availability, Reliability and Security (ARES)
International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU)*
The biennial International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU) aims to bring together scientists working on various methods for the management of uncertainty in intelligent systems. This conference provides a medium for the exchange of ideas between theoreticians and practitioners using different methods to address the important issue of
International Conference on Transition from Observation to Knowledge to Intelligence (TOKI)*
The biennial International Conference on Transition from Observation to Knowledge to Intelligence (TOKI) is a forum that aims to demonstrate new systems and techniques in knowledge management, competitive intelligence, big data, semantic web, Internet of Things resource management, web mining, natural language processing, interoperable and adaptive information systems, data science, etc. Language: