Integrating Artificial Intelligence in Knowledge Management: A Primer

Autor: Laila Benhlima, Abderrahim Agnaou, Hayat El Asri
Rok vydání: 2020
Předmět:
Zdroj: Lecture Notes in Mechanical Engineering ISBN: 9783030621988
DOI: 10.1007/978-3-030-62199-5_45
Popis: Over the years, the recurring and systematic use of data, information, and knowledge in managing organizational expertise has given rise to Knowledge Management (KM) as a distinct field of research and application. With the continuous growth of institutional and corporate knowledge, it has become imperative to integrate Artificial Intelligence (AI) in the process of managing the growing body of knowledge as a strategic asset. An AI-based KM aims at improving decision making, promoting innovation, and predicting future trends in organizations. Combining AI and KM is referred to as “cognitive computing” because they both need, use, and are about data. Thus, context-specific applications of AI in KM are in order, namely agent technology, expert systems, building information modelling, ontologies, analytics, and knowledge bases. Organizations have realized that the way they go about approaching KM was wanting. That is why emphasis shifted from technology to people, behaviors, and ways of working. This paper presents a primer for integrating AI in KM. It investigates the current AI trends and techniques that are suitable for integration in KM.
Databáze: OpenAIRE