IT Governance Knowledge: From Repositories to Artificial Intelligence Solutions

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.

A Future Trend in Sensing Enterprise Systems

The widespread use of sensorial technologies has created new opportunities for enterprises, as these new sources of data assist in increasing the context-awareness in which enterprises operate and enable them to better anticipate and adapt to changes in the business environment. This leads to better decision-making and greater profitability, as well as to reduced operating risks. However, if enterprises are to get any benefit from these new data sources, there is a need for tools, which will enable them to deal with the complexity of the multitude of data sources, both from physical and virtual objects, as well as a means to extract relevant and correct information and knowledge from it. Having access to data is not enough. The real value to enterprises comes from being able to process it, interpret it and being able to make accurate forecasts upon which they can base their business decisions. This paper presents the blockchain technology which is intended to support the development of sensing enterprise systems for intelligent knowledge management. Since the creation of the internet, blockchain is the most important technology created that is in constant development and has still much more to develop. In a simple way, blockchain is a computational technology for register of operations, decentralized, free-access, transparent, global, continuous. It is a public database that is accessible for everyone and is much more secure and reliable than other forms currently known to perform similar operations. Thus, it is intended to demonstrate the importance of this recent technology in business processes and the future trends of its use in sensing enterprise business processes. The proposed framework intends to demonstrate and serve as the foundation for new business models supported by the new capabilities provided by sensorial technologies in the support of enterprise applications.