The following is the Industrial Internet of things artificial intelligence framework white paper From IC recommended by recordtrend.com. And this article belongs to the classification: artificial intelligence, Industry 4.0, Internet of things.
Industrial artificial intelligence (AI) is the application of artificial intelligence in industrial application and the main contributor to value creation in the fourth industrial revolution. Artificial intelligence is being embedded in a wide range of applications to help organizations realize significant benefits and enable them to transform the way they deliver value to the market.
This document provides guidance and help for the development, training, documentation, communication, integration, deployment and operation of the industrial Internet of things system based on artificial intelligence. It is aimed at decision makers from it and operational technology (OT), business and technical personnel from multiple disciplines, including business decision makers, product managers, system engineers, use case designers, system architects, component architects, developers, integrators and system operators.
This document is built around the architecture perspective in IIC’s industrial Internet reference architecture, that is, business, usage, function and implementation perspectives. This document discusses the business, business and value creation considerations that drive AI adoption. It also details the concerns raised by the use of artificial intelligence, use cases in industry, and related ethics, privacy, prejudice, safety, labor impact, and social issues. In terms of technology, this document describes the architecture, functions and data considerations related to AI, and discusses various implementation considerations, such as performance, reliability, data attributes and security. The application of artificial intelligence is expected to accelerate in this industry. Considering the fast-growing computing power, a wider range of data available for training and increasingly complex algorithms, artificial intelligence technology will continue to develop. Current it standards and best practices must evolve to address the unique characteristics of artificial intelligence itself and specific considerations related to the security, reliability and resilience of industrial IOT systems.
In addition, the growing maturity of organizations in artificial intelligence will help them realize that its advantages far outweigh its disadvantages. The artificial intelligence standard ecosystem will also continue to develop. For example, the ongoing standard work of iso/iec JTC 1/sc42 provides guidance for JTC 1, IEC and ISO committees in formulating artificial intelligence standards. Based on these trends, there is no doubt that artificial intelligence will continue to promote the possibility of the most advanced technologies and functions. Therefore, what is considered reasonable will continue to develop. The attitude towards technology and the expectations of enterprises for its use will also continue to develop. In the future, we can expect the use of artificial intelligence technology to become a norm rather than an exception. In view of the social benefits of this technology, “not using artificial intelligence” may eventually become an irresponsible practice.
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