【中国企业在AI采用上领先全球，85%计划加速应用】根据IBM委托Morning Consult发布的《2023年全球AI采用指数》报告，中国企业在人工智能（AI）的应用上展现出全球最高的积极性。报告指出，高达85%的中国企业表示，未来将加快AI技术的采纳步伐，这一比例在全球范围内独占鳌头。
尽管中国企业在AI领域的领先地位显著，但报告同时也揭示了实施AI技术过程中面临的挑战。主要障碍包括技术技能的不足和数据治理问题。这些因素导致全球约40%的企业仍然处于AI的探索和试验阶段，尚未能够全面部署AI能力。
这一现象表明，尽管AI的潜力已被广泛认可，但实际落地过程中，企业需要克服人才短缺和技术实施的复杂性。对于中国企业而言，加速AI采用的同时，也需要强化内部的技术培训和建立完善的数据管理体系，以确保AI技术的有效利用和合规运营。
随着AI技术的不断发展，中国企业正处在全球AI革命的前沿，但要实现全面的AI转型，必须解决当前存在的障碍，提升技术应用的成熟度和效率。这一挑战也为全球其他企业在AI领域的发展提供了借鉴和思考。
英语如下：
**News Title:** “China Leads Global AI Adoption Surge with 85% of Firms Accelerating Deployment, Skills and Data Governance Emerge as Key Challenges”
**Keywords:** China AI adoption, highest globally, skills data challenges
**News Content:**
**Chinese companies are at the forefront of global AI adoption, with 85% planning to accelerate usage** according to the “2023 Global AI Adoption Index” report, commissioned by IBM and conducted by Morning Consult. The report highlights China’s unparalleled enthusiasm in the application of artificial intelligence (AI), with 85% of Chinese firms stating they will hasten AI technology adoption, a figure unmatched internationally.
Despite China’s prominent position in the AI landscape, the report also uncovers challenges encountered during implementation. Key obstacles include a lack of technical skills and issues with data governance. These factors contribute to approximately 40% of global companies still being in the exploratory and experimental stages of AI, unable to fully deploy AI capabilities.
This indicates that while the potential of AI is widely acknowledged, practical implementation requires overcoming talent shortages and the complexities of technology rollouts. For Chinese companies, as they hasten AI adoption, it is crucial to strengthen in-house technical training and establish robust data management systems to ensure effective AI utilization and compliant operations.
As AI technology continues to evolve, Chinese companies are at the vanguard of the global AI revolution. However, to fully realize AI transformation, they must address existing hurdles and enhance the maturity and efficiency of AI application. This challenge offers lessons and food for thought for other global companies in their AI development endeavors.
【来源】https://www.jiemian.com/article/10933633.html
Views: 1