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Industrial big data refers to a large amount of diversified time series generated at a high speed by industrial equipment, [1] known as the Internet of things. [2] The term emerged in 2012 along with the concept of "Industry 4.0”, and refers to big data”, popular in information technology marketing, in that data created by industrial equipment might hold more potential business value. [3]
Critics of the concept dismiss Industry 4.0 as a marketing strategy. They suggest that although revolutionary changes are identifiable in distinct sectors, there is no systemic change so far. In addition, the pace of recognition of Industry 4.0 and policy transition varies across countries; the definition of Industry 4.0 is not harmonised.
Work 4.0 (German: Arbeit 4.0) is the conceptual umbrella under which the future of work is discussed in Germany and, to some extent, within the European Union. [1] It describes how the world of work may change until 2030 [2] and beyond in response to the developments associated with Industry 4.0, including widespread digitalization. [3]
For the definition of the four NDE revolutions it was chosen to define them independent from Industry by the revolutionary changes within NDE. [18] Leading to NDE 4.0, just as those leading to Industry 4.0 were prior developments that are divided into prior revolutions based on distinct technological and historical markers.
Illustration of Industry 4.0, showing the four "industrial revolutions" with a brief English description. Industrial sociology, until recently a crucial research area within the field of sociology of work, examines "the direction and implications of trends in technological change, globalization, labour markets, work organization, managerial practices and employment relations" to "the extent to ...
It is a similar concept to industry 4.0, applied to value chain. The proponents of Service 4.0 claim that it is a major opportunity for service companies to make a leap forward in terms of efficiency and effectiveness, and an opportunity for service users to discover and benefit from new features, impossible to be delivered before this disruption.
Benefits also apply to specific processes of the oil and gas industry. [49] The exploration process of oil and gas can be done more precisely with 4D models built by seismic imaging. These models map fluctuations in oil reserves and gas levels, they strive to point out the exact quantity of resources needed, and they forecast the lifespan of wells.
Industrial artificial intelligence, or industrial AI, usually refers to the application of artificial intelligence to industry and business. Unlike general artificial intelligence which is a frontier research discipline to build computerized systems that perform tasks requiring human intelligence, industrial AI is more concerned with the application of such technologies to address industrial ...