Michel Grundstein is Associate Researcher at LAMSADE, Paris Dauphine University, France.
He is the founder, with Camille Rosenthal-Sabroux, of the SIGECAD Group, which domain topics are Information Systems, Knowledge Management and Decision Aid.
His main research topic is Knowledge Management (SopIM®, KWDM®, GAMETH®, MGKME®, DITEK®, and EIKS®).
Formerly, in a Large French Company, he was Corporate Advisor, responsible for Innovative Methods and Applications in the field of IT.
Thus, he had to successively handle the introduction of computer-aided design, the passage from mainframe computer to departmental computers and personal computers, and artificial intelligence and knowledge-based systems deployment.
He has contributed to numerous books as coauthor and has published several articles (see http://www.mgconseil.fr )

Distinguishing Information from Knowledge: A distinction that Leads to the Concept of Enterprise Information and Knowledge System (EIKS) , Michel Grundstein

In a world overwhelmed with pervasive digital technologies that transform human activities, the main purpose of this session is to raise a debate on the crucial importance to make a distinction between the notion of “Information”, and the notion of “Knowledge” when developing digital applications.
So, I will argue that “Knowledge cannot be considered as an object such as data are in digital information applications.”
Consequently, I will propose an empirical model (DITEK) enabling to distinguish the notion of information and the notion of knowledge. This model shows the role of individual’s interpretative frameworks (mental models), and of tacit knowledge, establishing a discontinuity between information and knowledge.
This distinction opens our minds with a different view of information systems that leads: (1) To conceive what we call the Enterprise’s Information and Knowledge Systems (EIKS), and (2) To include Individuals as Users and Components of the system, at the same time.
All along the session, the debate will focus on: (1) The conditions and limits in which Knowledge can be thought as Information; (2) The transformation’s process from data to information and from information to tacit and explicit knowledge; (3) The EIKS concept.