Open AccessThe Emergence of Artificial Intelligence for Industrial Internet of Thing Engagement
Author(s) -
Gizealew Alazie Dagnaw,
Sisay Ebabye Tsigie
Publication year - 2021
Publication title -
international journal of advanced trends in computer science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3091
DOI - 10.30534/ijatcse/2021/121022021
Subject(s) - industry 4.0 , big data , industrial internet , cloud computing , automation , industrial revolution , the internet , context (archaeology) , computer science , engineering management , data science , engineering , internet of things , world wide web , political science , mechanical engineering , paleontology , operating system , law , biology , embedded system
New IT technologies will help enterprises across all industries to master future challenges. As AI emerges from science fiction to become the frontier of world changing technologies, there is an urgent need for systematic development and implementation of AI to see its real impact in the next generation of industrial systems, namely Industry 4.0. Today, the term “industrial automation” is generally referred to in the context of Industry 4.0 and the Industrial Internet of Things the two most recent technological revolutions in the industrial sector. The core principles of Industry 4.0 focus on increasing productivity, cost efficiency, quality, and safety by utilizing innovative technologies enabled by the IIoT, such as cyberphysical systems, cloud computing, big data, artificial intelligence and machine learning. When implementing this technology by using data centric digital business model. Internet of Things & Artificial Intelligence are poised to transform industrial operations.