Abstract
Considering the global competitiveness the organizations ability to effectively use information technologies and bet on innovation and creativity are today commonly recognized as important. In this context, research on creativity in information systems has assumed special importance. This paper illustrates the use of Action-Research Method "in research in Information Systems and Creativity, particularized in Information Systems Planning, reflecting on the advantages of using this method in this context.

Abstract
Intelligence involves knowing information about some competitive factors like competitors' profitability and turnover rate. Information technology can help organizations to seize the information available. In this chapter we will present the solution architected and developed for a Portuguese company with a starting scenario that showed characteristics like dispersed information, concentration of knowledge in a single individual, no defined architecture for data or information, simple changes involving huge efforts and lack of agility. We found that business decision makers had problems of relying on the results, as the system was like a black box and often provided not accurate data. We will describe how we solved the problem, designing and implementing a business intelligence solution and the impact of having an information architecture.

Abstract
In face of growing global competition, the ability of organizations to effectively use information technologies to deliver innovation and creativity is widely recognized as an important competitive advantage. In this context, knowledge of how to apply creativity techniques to information systems planning becomes particularly relevant. This chapter presents a framework for the introduction of creativity in Information Systems Planning. The framework aims at promoting the development of innovative Information Systems, which traditional methods of requirements elicitation fail to address. Finally, we discuss how the framework was implemented at a public organization to identify information systems opportunities.

Abstract
Study and conception of systems that help to the birth of new ideas, products and solutions has an ever increasing importance. One potentially attractive way is to use exist-ent creativity techniques of proven utility to generate new ideas that help companies' competitiveness. In this arti-cle, we resume the" Creative Information System and Creative Suport Systems(CSS), by presenting a concrete architetural proposal medeated by computer by Brute Thinking implementation. The study and design of sys-tems that help the birth of new ideas, products and solu-tions are growing in importance. A potentially attractive route is to use existing techniques for creativity and proven useful to generate new ideas that help the compet-itiveness of firms. In this article, we return to the concepts of "Creative System Information" and Creative Support Systems (CSS), presenting a concrete proposal for com-puter-mediated architecture for implementing the tech-nical Brute Thinking.

Abstract
The paradigm of health care delivery is slowly aligning with the needs and habits of modern patients. Mobile computing may be a solution to respond to the growing trend and need for health care sharing and collaboration, enabling the redesign of processes giving rise to new models of health care delivery. Seeking to determine the situation in Portugal regarding mobile computing initiatives in this domain (mobile health) and their status of implementation, and following the methodology of Levac et al., we conducted a survey and an exploratory study whose results were mirrored in a matrix developed for this purpose. The mapping of the study aims to summarize the acquired knowledge in an accessible and summarized format so that decision-makers, practitioners and consumers can make effective use of the findings.

Abstract
Software Defined Networks (SDNs) provides a separation between the control plane and the forwarding plane of networks. The software implementation of the control plane and the built in data collection mechanisms of the OpenFlow protocol promise to be excellent tools to implement Machine Learning (ML) network control applications. A first step in that direction is to understand the type of data that can be collected in SDNs and how information can be learned from that data. In this work we describe a simple architecture deployed in an enterprise network that gathers traffic data using the OpenFlow protocol. We present the data-sets that can be obtained and show how several ML techniques can be applied to it for traffic classification. The results indicate that high accuracy classification can be obtained with the data-sets using supervised learning.