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AI is a key driver of Industry 4.0, orchestrating technologies like robotics, automated vehicles, and real-time data analytics. By enabling machines to perform complex tasks, AI is redefining production processes and reducing changeover times. [ 40 ]
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]
Big data analytics allows an enterprise to use smart manufacturing to predict demand and the need for design changes rather than reacting to orders placed. [2] Some products have embedded sensors, which produce large amounts of data that can be used to understand consumer behavior and improve future versions of the product. [9] [10] [11]
There are three recognizable components of NDE 4.0. First, Industry 4.0 emerging digital technologies can be used to enhance NDE capabilities in what has been termed “Industry 4.0 for NDE”. Second, statistical analysis of NDE data provides insight into product performance and reliability.
Big data analytics: Big data analytics is the process of examining large and varied data sets, or big data. [8] Artificial intelligence and machine learning: Artificial intelligence (AI) is a field within computer science in which intelligent machines are created that work and react like humans. [9]
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 ...
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]
Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information. [1] Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text ...
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