Big Data Analytics with IoT in Traditional Manufacturing Industry: The Emerging Era
Posted: 18 Apr 2019
Date Written: April 16, 2019
Abstract
Big Data and the Internet of Things (IoT) have been implemented as solution technologies in Information Technology (IT) industries for some time now, but the integration of these technologies to attain higher precision, pattern predictions and reduced hazards with regard to manufacturing industries, is still in its early stages. Along with these setups a remote/mobile access to conclusions has always been a tempting feature for industries.
The technological advancements with the proliferation of data over the internet and varying devices with continuous surging recordings play a vital role in the growth of industries in today's scenario. Academic research in this rapidly spurting field and teleology of this evolving phenomenon of ‘Big Data Analytics in Traditional Manufacturing Industry’ may exhibit insights with significant implications for practicing industrialists as well as academicians.
The manufacturing and industrial entities observe bewilderments and limitations when it comes to real time access to analyzed conclusions regarding discretely placed actuators and sensors collecting data continuously throughout the industrial premises. A heuristic for this obscurity is proposed in the paper highlighting the implementation of popular and niche technologies that are Internet of Things (IoT) and Big Data Analytics in an integrated manner.
This paper is an effort to explore the current state of, ‘Big Data Analytics with IoT in traditional manufacturing industry’, and propound a methodology to accentuate its utilization in the industry for good. Through a review of relevant academic literature, the paper attempts to posit a valid solution and discuss its contributions.
Keywords: Big Data, Internet of Things, Information and Communication Technology, Big Data Analysis, Information Technology, Teleology
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