Abstract
Disruptive requirements that currently drive the so-called Industry 4.0 (I4.0) are increasingly present in today's industries, where factories are forced to innovate in search of improvement in the quality of manufacturing of products aligned with the reductions of: manufacturing time, environmental and cost impacts with the manufacturing process. For this, an Information Systems (IS) architecture is proposed to reduce the negative impacts on an industrial operation caused by manual configuration failures in manufacturing systems, machines that are worn out in the production process and unstable integrations between industrial subsystems. The suggested SI model uses the Viable Systems Model adapted to Maintenance 4.0 technologies (Cyber-physical Systems (CPS), Manufacturing Execution Systems (MES), Data Mining and Digital Manufacturing concepts/technologies) with the goal to create an automatic purchase flow to replace parts by mitigating impending failures in industrial equipment through data mining and predictive analysis.

Abstract
In face of the continuously growing process of the fourth industrial revolution, the industries are forced to innovate their industrial manufacturing process to remain competitive and active in the market, perfecting the manufacturing process through new interconnected and autonomous technologies. Since time reduction, quality enhancement and cost reduction for manufacturing of industrial products are the major catalysts of a successful company for the current Era called Maintenance 4.0, this paper proposes to illustrate an Information Systems Architecture where, using the Viable Systems Model, it is possible to perform automatic adjustments in the subsystems related to Cyber-Physical Systems and Manufacturing Execution Systems (MES) within the Digital Manufacturing model and, in addition, to mitigate machine failures through predictive analyzes of massive volumes of data using algorithms with intelligent functions and Data Mining (DM) in order to automatically stabilize the entire system chain quickly and efficiently. © 2019 IEEE.

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The current study has as its objective to analyse how the study of languages is affected by new technologies. The way of teaching as well as the learning process are not the same as in older times, so we think that it is important to analyse the phenomenon. There are several advantages to the use of technology, and the future heralds even greater evolution. The effect of technologies on teaching has been very significant and even university professors resort to the usage of websites or other technological tools. The concept of innovation is not only associated to information and communication technologies, but also to the process and innovative supply of methods of access to knowledge. Therefore, associating innovation to the teaching of languages is something completely acceptable, since the usage of technological resources is a form of innovating. Because the final objective is to find a coherent response that indicates what is currently happening in the world of education concerning languages, primary data was obtained via a total of eleven interviews answered by young language students and professors. With this study, we conclude that technologies will continue to have an impact on the future of teaching. There is a general consensus concerning the relevance of obtaining better academic results. Therefore, it is necessary to recognize that learning becomes more facilitated with technology because there is easier access to information.