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《中国工程科学》 >> 2022年 第24卷 第6期 doi: 10.15302/J-SSCAE-2022.07.010

我国企业人工智能应用现状与挑战

1. 华为技术有限公司,广东深圳 518129;

2. 中国石油大学人工智能学院,北京 102249;

3. 中国石油勘探开发研究院,北京 100083

资助项目 :中国工程院咨询项目“中国工程科技未来20年(2021—2040年)创新发展机制与策略研究”(L2124001);国家自然科学基金项目(72088101) 收稿日期: 2022-06-07 修回日期: 2022-08-05 发布日期: 2022-09-29

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摘要

深度学习增强了人工智能(AI)算法的通用性,近年来催生了AI产业的快速发展,但实践表明AI技术和算法在产业领域的落地应用依然面临极大困难;企业用上并用好AI、学术界和产业界协同以解决算法落地困难等问题,受到广泛关注。本文着眼我国AI产业的健康可持续发展,从企业AI应用落地的实际案例出发,梳理业界现状、剖析发展挑战、探讨根本原因、提出应对策略。企业AI落地应用的复杂性表现在业务需求、数据、算法、基础设施、配套方案等多个维度,应用成熟度取决于数据的准备程度及治理水平。在国家宏观层面,有必要构建更友好的AI产业生态环境,促进AI全产业链协同发展;以更有力的具体举措支持AI产业的技术研发,特别是全栈AI、AI基础平台及工具体系、AI根技术等,提高我国AI核心技术的自主可控能力;鼓励企业积极实施数字化转型,采用AI技术进行智能化升级,形成AI产业技术研发、企业AI落地创新的强耦合及双向循环。

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