## 7 Conclusions and Further Work
Lastly, it is important to note that, as pointed out by construction experts, the most relevant threat to the success of the platform is faulty change management rather than some failure in the platform itself. Therefore, when this platform reaches industry, it has to be accompanied by proper training and incentives to overcome this initial barrier. Nevertheless, this barrier could be minimized by addressing this challenge from a multidisciplinary perspective and by taking into account the feedback from user evaluations (e.g., ease of use, validation process, and user's expectations). The positive results already obtained in the evaluations by end users give this platform a head-start in this matter. Even though the platform received positive comments from users, the last evaluation showed that minor corrections need to be done to the platform before it can be rolled out to industry. Also, it showed that cloud computing capabilities can be further exploited. In order to do so, we have a first release of a recommender system relying on machine learning developed in a fourth Build-Measure-Learn cycle. It is expected that this automation will reduce the time that professionals have to spend searching for relevant information as it will provide recommendations to users based on comparing new lessons to the lessons the user previously showed an interest in. In the future, we expect to add news features (like a chatbot able to recommend lessons through translating and interpreting human natural language input) to this new recommender system of the platform, so as to evaluate its usefulness on site. Additionally, we want to consider a more functional integration with BIM objects. Currently, the platform allows for interaction with BIM models through the files that can be attached to a lesson, which is a very simple form of integration because few Chilean construction SMEs have fully adopted BIM so far, but it is expected that this situation change in the future. Any future improvements should take advantage of the extensibility of the proposed platform to add a richer integration with BIM. In addition, open issues and challenges in the technologies that were used to build the platform (i.e., MC and CC), such as data security, need to be studied in further detail. This will ensure that this proposal is kept up-to-date with state of the art research as advances are made. Finally, we believe that this proposal will contribute to the generation of the conceptual basis and foundations of a knowledge management platform architecture to manage lessons learned. A platform especially designed for Chilean SME construction companies that use the cloud in an effective and efficient way. Besides the obvious academic contribution of the proposed research, we expect that this platform could produce concrete changes. First in the construction industry (better and more efficient solutions) as it will help companies to improve their knowledge management processes thereby allowing for a better use of the lessons learned on each project, reducing the repetition of mistakes, and enabling the creation of a learning culture inside each organization. Second in the productivity of construction professionals, as it will help them to have access at any time and from anywhere to organizational knowledge in order to enhance their performance at work. The authors wish to acknowledge CONICYT FONDECYT/Postdoctorado/N: 3130412 for the support for the realization of this research effort. [PERSON] developed the research presented in this study as part of a postdoctoral project supervised by [PERSON] and [PERSON]. [PERSON] contributed in the design of the proposed system and in the supervision of [PERSON], who developed the computational platform presented in this article. All authors wrote this article. The authors declare no conflict of interest.