The car industry is one of the world’s largest industries and one of the most rapidly digitized sectors. As a result, it has been able to design more sustainable, efficient and personalized vehicles that adapt to the needs of their customers.

Thanks to the application of the Internet of Things (IoT), they can challenge design standards by improving comfort. Data collection enables this industry to come up with new ideas and improve manufacturing. Connected vehicles will be capable of receiving information in real time, about the conditions on the road and the environment, and they will help drivers choose the best routes to their destination. One of the most important aspects of sensing technology is that it has made it possible to perform predictive maintenance. Predictive maintenance involves analysing data on the status and performance of the car, applying data processing algorithms, identify anomalies and making repairs before they become complex.

The global worth of IoT in the car industry is expected to reach USD 183.72 billion by 2026. Connected cars won’t stop there, they will keep surprising us with an increasingly better user experience. The goal of this industry for the future is total reinvent itself in terms of manufacturing and the level of vehicle autonomy. Great advances are being made in this direction, but we still have a long way to go.

For the car sector to be able to continue its progress in the area of disruptive technologies, there must be specialists capable of making ideal use of connected devices. The Master’s Degree in The Internet of Things offered by the Bisite Research Group and the University of Salamanca, will prepare students to take on and coordinate projects oriented to this and other types of industries. Students taking this degree will have the opportunity to do internships at companies that collaborate with the Digital Innovation Hub.

If you’re interested, pre-register before August 31st, 2020 to get a 25% discount on our Master’s and Expert Degrees in IoT.



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.