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“人工智能+”典型行业场景分析

作者:邵鹤令 班元浩 所属图书:中国智能经济发展报告(2024~2025) 图书作者:彭绪庶 李雯轩 出版时间:2024年12月 所属丛书:
报告字数:19340字 报告页数:27页

文章摘要:人工智能大模型通过大量数据训练,能够生成高质量、多样化的知识内容,在产品价值创新、业务流程重塑、运营效率提升、客户体验升级等方面,为千行百业带来前所未有的创新机会。大模型+产业场景应用是产业智能化发展的重要路径,不仅有利于提高生产效率,更能催生新的商业模式,引领新一轮产业变革。大模型最大的效用在于与产业具体应用场景结合。大模型在各行各业的实际应用步伐不一,本报告基于广泛调研,重点介绍国内几个大模型在传统行业的典型应用进展,分析背后的原... 展开

文章摘要:人工智能大模型通过大量数据训练,能够生成高质量、多样化的知识内容,在产品价值创新、业务流程重塑、运营效率提升、客户体验升级等方面,为千行百业带来前所未有的创新机会。大模型+产业场景应用是产业智能化发展的重要路径,不仅有利于提高生产效率,更能催生新的商业模式,引领新一轮产业变革。大模型最大的效用在于与产业具体应用场景结合。大模型在各行各业的实际应用步伐不一,本报告基于广泛调研,重点介绍国内几个大模型在传统行业的典型应用进展,分析背后的原因,以便于各界更好理解要专注于具体场景的特定需求,结合业务问题识别核心矛盾,找到大模型应用的最佳着力点。

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Abstract:Artificial intelligence large models,trained with vast amounts of data,can generate high-quality and diverse knowledge content,bringing unprecedented opportunities for innovation in product value,reshaping of business processes,enhancement of operational efficiency,and upgrading of customer experiences across various industries. The application of large models in industry scenarios is a crucial path for the development of indust... 展开

Abstract:Artificial intelligence large models,trained with vast amounts of data,can generate high-quality and diverse knowledge content,bringing unprecedented opportunities for innovation in product value,reshaping of business processes,enhancement of operational efficiency,and upgrading of customer experiences across various industries. The application of large models in industry scenarios is a crucial path for the development of industrial intelligence,which not only helps to improve production efficiency but also gives rise to new business models,leading a new round of industrial transformation. The greatest utility of large models lies in their combination with specific industrial application scenarios. The pace of actual application of large models varies across different industries. Based on extensive research,this report focuses on introducing the typical application progress of several large models in traditional industries in China,analyzes the underlying reasons,and aims to help all sectors better understand the need to focus on specific scenario requirements,identify core contradictions in combination with business problems,and find the best points of application for large models.

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作者简介

邵鹤令:邵鹤令,国信证券投资银行部执行总经理,中国保荐代表人,中国香港保荐人代表,主要研究方向为大数据、区块链、人工智能等。

班元浩:班元浩,经济学博士,中国社会科学院数量经济与技术经济研究所信息化与网络经济研究室助理研究员,主要研究方向为数字经济与数字技术创新。

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