信息通信技术与政策

信息通信技术与政策

信息通信技术与政策 ›› 2019, Vol. 45 ›› Issue (7): 34-38.

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人工智能在电信运营中的典型应用实践

Typical applications of Artificial Intelligence in telecom operation

  

  • 出版日期:2019-07-15 发布日期:2020-11-26
  • 作者简介:
    邓超:中国移动通信有限公司研究院人工智能和智慧运营研发中心副总经理
    王斌:中国移动通信有限公司研究院人工智能和智慧运营研发中心技术经理
    朱琳:中国移动通信有限公司研究院人工智能和智慧运营研发中心技术经理
    胡珉:中国移动通信有限公司研究院人工智能和智慧运营研发中心技术经理
    任智杰:中国移动通信有限公司研究院人工智能和智慧运营研发中心项目经理
    李慧:中国移动通信有限公司研究院人工智能和智慧运营研发中心工程师
    冯俊兰:中国移动通信有限公司研究院人工智能和智慧运营研发中心总经理

  • Online:2019-07-15 Published:2020-11-26

摘要: 近年来,国家相继出台《新一代人工智能发展规划》等政策,促进我国AI 技术和产业发展。电信运营商聚焦如何运用AI技术,助力国家网络强国战略的实施。在发展和应用AI技术上,运营商有着天然优势:广泛的应用场景、海量连接的数据资源、大规模“中心+边缘”的云化基础设施算力等。如何更好地结合自身业务需求、数据规模优势及技术储备,实现AI 在电信运营中的规模化应用,各运营商开展积极探索实践。中国移动结合自身业务特点和技术优势,围绕运营过程的降本增效,将人工智能与电信行业的运营场景深度融合,积极探索AI 落地,已在智能交互、智慧稽核、网络自服务、人工智能平台等典型领域形成了显著的应用成效。

关键词: 智能客服, 智慧稽核, 网络自服务, 人工智能

Abstract: In recent years, China has successively issued policies such as“Development Planning of New Generation Artificial Intelligence”to promote the development of China’s AI technology and industry. Telecom operators focus on how to use AI technology to help implement the national network strategy. In the development and application of AI technology, operators have natural advantages: a wide range of application scenarios, massively connected data resources, and a large-scale“central + edge”cloud infrastructure as the computing power. Telecom operators are exploring practices on how to integrate business needs, advantages of data resources, and technology reserves to achieve the scale application of AI in telecom operations. China Mobile combines its own business characteristics with technological advantages, and focuses on the cost reduction and efficiency enhancement of the operation process. It integrates the Artificial Intelligence and the telecom industry’s operating scenarios deeply, and explores AI landing actively. It has formed significant application results in typical fields such as intelligent interaction, smart audit, network self-service and Artificial Intelligence platform.

Key words: intelligent customer service, smart audit, network self-service, Artificial Intelligence