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Artificial Intelligence Applications in Telecommunications and other network industries

机译：电信和其他网络行业的人工智能应用

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摘要

Artificial intelligence applications in network industries have the potential to reduce network roll-out and operating costs, improve performance, enhance customer service, and support the development and introduction of new services. This paper identifies and analyzes the range of AI applications already in place and those expected to be in place in the near future. After analyzing the applications found in the literature, we have conducted interviews with senior executives responsible for AI in telecommunications, electricity, gas and water companies headquartered in North America and Europe, as well as with suppliers incorporating AI into their equipment. These interviews have provided information on which AI applications are actually being used in these network industries and which are expected to be implemented in the future. While some of these AI applications, like predictive maintenance, have already been implemented today by most operators, more complex applications, such as traffic management AIs for 5G, are being considered by only a few large operators. Finally, the paper explores the consequences of AI for regulation. At the least, regulators will need to understand AI in order to determine if AI applications raise regulatory concerns. At this point, however, as AI becomes increasingly integrated into network operations, regulatory issues are only beginning to emerge.
机译：网络行业的人工智能应用有可能降低网络推广和运营成本，提高性能，增强客户服务，并支持新服务的开发和引入。本文识别并分析了已经到位的AI应用范围，并且预计在不久的将来就有所在的应用范围。在分析文献中的申请后，我们对负责北美和欧洲总部和欧洲的电信，电力，天然气公司负责的高级管理人员进行了访谈，以及将AI融入其设备的供应商。这些访谈已经提供了有关在这些网络行业中实际使用的AI应用程序的信息，预计将来会实施。虽然这些AI应用程序中的一些类似于预测性维护的应用程序已经由大多数运算符已经实施，但只有少数大型运算符也考虑更复杂的应用程序，例如5G的流量管理AIS。最后，本文探讨了AI监管的后果。至少，监管机构需要了解AI，以确定AI申请是否提高了监管问题。然而，在这一点上，由于AI越来越纳入网络运营，因此监管问题只开始出现。

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