Industry 4.0 is a term that has been used in the last few years, to refer to the use of new technologies in factories and the important changes that this entails. The chances are that the use of technology will continue to grow, creating altogether a new manufacturing process in which technology will be the very basis.

The application of new solutions and digital tools that can generate customized lines of production, predictive maintenance and security, as well as reduction of costs without leaving quality to the side.

The BISITE Group is aware of the importance of the new industrial revolution, for this reason we are going to work on the PLATUNIM project in collaboration with several companies; Sistem (project coordinator), Sonae-Arauco and Universitat Politècnica De València. The project is based on a horizontal smart data platform and deep learning for the manufacturing industry.


The execution of the project began in January 2018 and it is estimated to end in June, 2020. The project has been financed by a programme called Retos-Colaboración 2017 (Collaboration-challenges 2017), of the Ministry of Science, Innovation and Universities and co-financed by the European Regional Development Fund (ERDF). Moreover, the project has a global budget of 1,234,628.17€.

The objective of PLATINUM is to incorporate new sources of information which have been created as part of a digital society, at the same time it aims to ensure the compatibility of solutions, IoT devices and other tools which may be implemented in the future.

It will be designed under the social computing paradigm and will integrate new AI algorithms and information fusion models, which will enable the processing of large amounts of data that come from different sources, such as ERP, databases, social networks and connected devices. We will work with first-hand information, adopting a predictive approach in order to optimize processes and make ongoing progress.

Unquestionably, the digital transformation of the industry is a latent reality and our BISITE Group wants to contribute to its development.








Posted by Juan M. Corchado

Juan Manuel Corchado (15 de Mayo de 1971, Salamanca, España) Catedrático en la Universidad de Salamanca. Ha sido Vicerrector de Investigación desde el 2013 hasta el 2017 y Director del Parque Científico de la Universidad de Salamanca. Elegido dos veces como Decano de la Facultad de Ciencias, es Doctor en Ciencias de la Computación por la Universidad de Salamanca y, además, es Doctor en Inteligencia Artificial por la University of the West of Scotland. Dirige el Grupo de Investigación Reconocido BISITE (Bioinformática, Sistemas Inteligentes y Tecnología Educativa), creado en el año 2000. Director del IOT Digital Innovation Hub y presidente del AIR Institute, J. M. Corchado también es Profesor Visitante en el Instituto Tecnológico de Osaka desde enero de 2015, Profesor visitante en la Universiti Malaysia Kelantan y Miembro del Advisory Group on Online Terrorist Propaganda of the European Counter Terrorism Centre (EUROPOL). J. M. Corchado ha sido presidente de la asociación IEEE Systems, Man and Cybernetics, y coordinador académico del Instituto Universitario de Investigación en Arte y Tecnología de la Animación de la Universidad de Salamanca e investigador en las Universidades de Paisley (UK), Vigo (Spain) y en el Plymouth Marine Laboratory (UK). En la actualidad compagina toda su actividad con la dirección de los programas de Máster en Seguridad, Animación Digital, Telefonía Movil, Dirección de Sistemas de Información, Internet de las Cosas, Social Media, Diseño e Impresión 3D, Blockchain, Z System, Industria 4.0, Gestión de Proyectos Ágiles y Smart Cities & Intelligent Buildings​, en la Universidad de Salamanca y su trabajo como editor jefe de las revistas ADCAIJ (Advances in Distributed Computing and Artificial Intelligence Journal), OJCST (Oriental Journal of Computer Science and Technology) o Electronics MDPI (Computer Science & Engineering section). J. M. Corchado desarrolla principalmente trabajos en proyectos relacionados con Inteligencia Artificial, Machine Learning, Blockchain, IoT, Fog Computing, Edge Computing, Smart Cities, Smart Grids y Análisis de sentimiento.