根据IBM委托Morning Consult进行的《2023年全球AI采用指数》报告显示，中国企业对人工智能（AI）的接纳速度在全球范围内独占鳌头。统计数据显示，高达85%的中国企业表示，他们将在未来加快AI技术的采用步伐，这一比例居全球之首，显示出中国企业在数字化转型中的积极态度。
尽管中国的AI采用率高企，但报告同时也揭示了企业在AI落地过程中面临的挑战。其中，技能不足和技术人才短缺成为首要难题，数据治理问题紧随其后，这两个因素在一定程度上阻碍了AI技术在中国企业的全面实施。全球范围内，大约40%的企业仍处于AI的探索和试验阶段，尚未将其能力转化为实际业务应用。
这一情况反映出，尽管AI技术的潜力被广泛认可，但实现技术与实际业务的无缝对接仍需克服一系列障碍。中国企业需要加大人才培养和数据管理的力度，以充分利用AI的潜力，推动产业升级和效率提升。同时，这也为全球AI市场的发展提供了重要的参考，即在推动技术进步的同时，必须解决配套技能和数据治理的问题，以确保技术的有效应用。
英语如下：
**News Title:** “China Leads Global AI Adoption with 85% of Firms Accelerating Deployment, Faces Skill Shortages and Data Governance Challenges”
**Keywords:** AI adoption rate, China’s lead, skill and data challenges
**News Content:**
Title: Chinese Companies Lead Global AI Adoption, with 85% Planning Faster Deployment
A recent report, the “2023 Global AI Adoption Index” commissioned by IBM and conducted by Morning Consult, reveals that Chinese companies are at the forefront of embracing artificial intelligence (AI) worldwide. The data shows that an impressive 85% of Chinese businesses intend to hasten their adoption of AI technologies in the future, the highest percentage globally, indicating a proactive approach to digital transformation.
Despite China’s high AI adoption rate, the report also highlights challenges faced in implementing AI. Skill shortages and a lack of technical talent emerge as the primary issue, followed by data governance concerns. These factors partially impede the comprehensive implementation of AI within Chinese companies. Globally, around 40% of businesses are still in the exploration and experimentation phase of AI, yet to translate its capabilities into practical business applications.
This situation underscores that while the potential of AI is widely acknowledged, overcoming a series of hurdles is necessary to seamlessly integrate technology with actual business operations. Chinese companies need to strengthen talent development and data management to harness AI’s full potential, driving industry upgrades and efficiency improvements. Simultaneously, this provides a significant reference for the global AI market, emphasizing the need to address accompanying skill sets and data governance issues alongside technological advancements to ensure effective technology deployment.
【来源】https://www.jiemian.com/article/10933633.html
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