网络智能化中的AI工程化技术方案

朱明伟

doi:10.11959/j.issn.1000-0801.2022016

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网络智能化中的AI工程化技术方案

工程与应用 | 更新时间：2024-06-05

- 网络智能化中的AI工程化技术方案
- AI engineering technology solutions in network intelligence
- 电信科学 2022年38卷第2期页码：157-165
- 作者机构：
- 作者简介：
  
  [ "朱明伟（1986- ），男，现就职于中国移动通信集团设计院有限公司，主要研究方向为5G、边缘计算、云原生" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2022016
  中图分类号： TP181；TN929.5
- 网络出版日期：2022-02，
  
  纸质出版日期：2022-02-20
- 稿件说明：
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朱明伟. 网络智能化中的AI工程化技术方案[J]. 电信科学, 2022,38(2):157-165.

Mingwei ZHU. AI engineering technology solutions in network intelligence[J]. Telecommunications science, 2022, 38(2): 157-165.
朱明伟. 网络智能化中的AI工程化技术方案[J]. 电信科学, 2022,38(2):157-165. DOI： 10.11959/j.issn.1000-0801.2022016.

Mingwei ZHU. AI engineering technology solutions in network intelligence[J]. Telecommunications science, 2022, 38(2): 157-165. DOI： 10.11959/j.issn.1000-0801.2022016.

摘要

网络智能化是通信行业借助 AI 技术，对外增强网络赋能能力，对内实现降本增效的重要举措。从AI工程化的视角系统分析网络智能化应用落地的难点，提出了包括数据采集处理、训练计算资源的管理与任务调度、推理部署优化在内的面向生产环境的AI工程化技术方案，探讨网络智能化生态发展的策略。

Abstract

Depending on AI technology

network intelligence is becoming an important initiative for communication industry to enhance network empowerment externally

and to achieve cost reduction and efficiency internally.The difficulties implementing network intelligence applications from the perspective of AI engineering were analyzed.The industrial grade AI engineering technical solutions were proposed

including data collection and processing

computing resources management and task scheduling

and inference deployment optimization.The strategies of network intelligence’s ecosystem development were studied.

关键词

Keywords

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