The Connected Industry or Smart Industry is a competitive advantage; the companies that have digitized their processes evidence it with improvements in the production chain and in their invoicing.

These advances can be increased significantly by incorporating 5G technology, which is an excellent opportunity, especially given the situation we are experiencing worldwide.

According to the latest Smart Industry 4.0 study by the Industry Observatory 4.0, “In the last year, the number of companies with a digital transformation plan has increased by 28%, reaching 78%”. If these plans are implemented satisfactorily, the evolution of the industrial network would be tremendous and would be of great benefit to the Spanish economy.

Technologies such as robotics, position Spain as the third country in Europe with the greatest deployment in the automotive sector, or the Internet of Things, which is to have a high impact on production chains, will allow for the significant development of the smart industry.

The lack of experts

The transformation goes beyond the production chain; the logistics sector has also undergone major changes, which make it possible to take advantage of information to keep ahead of customers’ needs and to manage product traceability.

However, according to some experts, the biggest drawback is the lack of professionals capable of directing and coordinating activities and projects aimed at industry 4.0.

In this regard, at the BISITE Research Group of the University of Salamanca we have designed a training program that is adapted to the current stage of the industrial revolution. TheMaster in Industry 4.0, seeks to respond to the needs of the connected industry. Students will be able to learn about the technologies and computer models that are currently used in industry and robotics (Additive manufacturing, Robotics, Intelligent industry, Cyber-physical systems, IoT, data analytics and data science, etc.). 

You can find more information at this link https://industria4.usal.es/english

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 Unviersidad 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.