华为：2024共赢行业数智化实践白皮书：拥抱数智化机遇共赢数智化未来（115页）.pdf

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2、的所有人拥有。共赢行业数智化实践白皮书拥抱数智化机遇，共赢数智化未来1共赢行业数智化1.1 1.2 1.3 1.4 数智世界已加速到来数智化技术发展趋势数智化悄然改变人类社会数智化赋能千行万业2行业数智化转型100案例2.1 2.2 2.3 2.42.52.62.72.82.92.102.112.122.132.14 城市公共事业医疗教育金融交通电力油气矿山冶炼制造零售建筑ISP目录34671130465876951141301401491531661741803行业数智化转型的挑战3.1 3.2 3.3 3.43.5 传统数智基础设施难以匹配 创新需求行业数智化技术应用场景选择难行业数智化建

3、设需要开放统一的架构指引行业数智化安全风险不容忽视行业数智化可持续发展依赖人才和产业生态建设4行业数智化转型实施建议4.1 4.2 4.3行业数智化转型建设模式行业智能化参考架构业务智能化成熟度模型5展望193194194195196199200212198216192210The impressive growth of AI is opening up new prospects for the development of intelligent systems,particularly autonomous systems designed to replace human agent

4、s in complex organizations,as envisaged by industrial IoT.It should be noted,however,that AI is currently focused on conversational systems that interact with a human in the loop.The AI industrial revolution has only just begun!Certain technical advances,such as intelligent sensors,prediction/analys

5、is engines and intelligent O&M assistance,have improved the level of industrial autonomy.The autonomous car sector is leading the way with mixed success,while progress in other sectors such as avionics,smart factories and telecommunication networks is more gradual.The advent of the digital and intel

6、ligent era raises enormous technical and scientific challenges,not least that of marrying AI with traditional digital systems engineering,as AI systems need to be integrated into industrial systems for which we have determined reliability guarantee requirements.A well-known limitation of AI systems