Consequently, it is impossible to maintain the standard of higher education without the help of emerging technologies.
The fourth industrial revolution is all about the growth of information and frontier technologies. The advancement of any modern nation depends largely on the standard of higher education. The framework is developed based on the analysis of the available literature and informed with direct experience in implementing Industry 4.0 technologies in practice. The present study proposes a conceptual framework for real-time data analytics for Industry 4.0. The discovery of hidden information in the raw data is enabled by the real-time predictive data analytics on the basis of which the real-time decision making models are applied in the production system. The predictive production systems are new type of intelligent production systems that enable the implementation of new technologies for discovering hidden information in the raw production data, this way enabling prediction and prevention of errors that could occur in production.
Big data tools for data analysis how to#
However, one of the major obstacles is how to transform reactive, via proactive, to predictive production systems. Companies rightfully have high expectations of Industry 4.0. Internet of Things, Cyber-Physical Systems, Cloud Computing, Big Data and Artificial Intelligence). The Industry 4.0 is moving the production towards smart production systems, based on new technologies (i.e.
0 kommentar(er)
