Engineering sciences are nowadays interested in companies’ knowledge, either individual or collective one, in order to implement processing and management systems allowing better decisions as well as replacing humans with… Click to show full abstract
Engineering sciences are nowadays interested in companies’ knowledge, either individual or collective one, in order to implement processing and management systems allowing better decisions as well as replacing humans with intelligent agents for technical and business reasons. Knowledge management (KM) is an important pillar to achieve organization best performance by deploying technics and know-how of brilliant and competent profile. It crosses several components namely: strategy processes, information systems and decision systems. IT Governance is the knowledge allowing the strategic alignment of IT with business so that the maximum value of the company is achieved by the development and effective control of information, responsibility, performance and risk management. This knowledge is mainly capitalized in good practice guidelines written by experts in the field. They make them available to companies and auditors for certification or performance improvement. However, the use of this knowledge in the right way is both expensive and complicated. This article addresses the issues related to the design and implementation of an intelligent knowledge management system for IT governance within the company normative and technical expectations.
               
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