Open AccessBig Data and Artificial Intelligence in the Development of Industry 4.0; A Bibliometric Analysis
Author(s) -
E González-Sarmiento,
J Roa-Perez,
L Ortiz-Ospino
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1154/1/012008
Subject(s) - big data , digitization , data science , industry 4.0 , identification (biology) , context (archaeology) , automation , subject (documents) , computer science , industrial revolution , digital revolution , cloud computing , the internet , work (physics) , engineering , world wide web , political science , data mining , geography , mechanical engineering , telecommunications , botany , archaeology , law , computer vision , biology , operating system
Industry 4.0, also known as the Fourth Industrial Revolution, is characterized by process automation and digitization and the use of technologies such as the Internet of Things, cloud, big data, artificial intelligence (AI), and embedded systems, among others. In fact, AI and big data are two driving forces behind several technological innovations that have shaped the current digital environment and Industry 4.0. These two trends share a common goal, i.e., to obtain the maximal data out of the vast amount of data being generated today. Therefore, within the context of substantial scientific development in this subject, this work provides an overview of the development of Industry 4.0 based on big data and AI. The methodological design commenced from the development of a bibliometric exercise for the identification of scientific papers addressing this subject. The main results of this work include the identification of scientific development based on big data and AI in the advancement of Industry 4.0. Moreover, conclusions regarding the importance of these pillars in the new digitization era are obtained.