ERIM Research Clinic: Adaptive Models for Decision Support


Speaker


Abstract

ICT enables organizations to monitor their activities and performance at an unprecedented detail, generating large amounts of data and information. Within the knowledge economy, organizations are hard pressed to keep an overview on this data and to integrate different pieces of information into useful knowledge that the organization can act upon. A quick and timely analysis of information assets combined with advanced inference and modeling techniques can provide an organization with crucial information and knowledge that can be used to improve its decision-making and operations. Intelligent systems for decision support play an important role here, since they provide the flexibility and the power that are required to process information of different type, origin and granularity to generate valuable knowledge that an organization can act upon. In this presentation, we consider a number of methods from the field of intelligent systems in order to generate adaptive models for supporting decision making in organizations.
 
Contact information:
Miho Iizuka
Email