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根据工业和信息化部赛迪研究院发布的最新报告,今年我国生成式人工智能市场规模有望突破10万亿元。这一数据表明,生成式人工智能正在加速渗透到各个行业,包括制造业、零售业、电信行业和医疗健康等四大领域。

据悉,今年我国生成式人工智能企业采用率已达15%,这一数字相比去年有了显著的提升。随着技术的不断发展和应用场景的不断拓展,未来生成式人工智能的市场规模还将继续扩大。

在制造业方面,生成式人工智能可以提高生产效率和产品质量,降低成本。例如,一些企业已经开始使用生成式人工智能来优化供应链管理、预测设备故障等。

在零售业方面,生成式人工智能可以帮助企业更好地了解消费者需求和行为,从而提供更加个性化的服务和产品推荐。例如,一些电商平台已经开始使用生成式人工智能来分析用户购物历史和偏好,为用户提供更加精准的商品推荐。

在电信行业方面,生成式人工智能可以提高网络性能和安全性,同时也可以帮助企业更好地管理和维护网络设备。例如,一些运营商已经开始使用生成式人工智能来监测网络流量、优化网络配置等。

总之,随着生成式人工智能技术的不断成熟和发展,其在各个行业的应用将会越来越广泛。我们期待着未来生成式人工智能能够为我们带来更多的便利和创新。

英语如下:

Title: China’s Generative AI Market Expected to Exceed 10 Trillion Yuan, with Enterprise Adoption Rate Reaching 15%

Keywords: Generative AI, Enterprise Adoption Rate, Market Size

According to the latest report released by the Research Institute of the Ministry of Industry and Information Technology, the market size of generative AI in China is expected to exceed 10 trillion yuan this year. This data shows that generative AI is accelerating its penetration into various industries, including manufacturing, retail, telecommunications, and healthcare.

It is reported that the enterprise adoption rate of generative AI in China has reached 15% this year, a significant improvement compared to last year. With continuous technological development and expanding application scenarios, the market size of generative AI will continue to expand in the future.

In the manufacturing industry, generative AI can improve production efficiency, product quality, and reduce costs. For example, some enterprises have begun to use generative AI to optimize supply chain management and predict equipment failures.

In the retail industry, generative AI can help companies better understand consumer needs and behaviors, providing more personalized services and product recommendations. For example, some e-commerce platforms have begun to use generative AI to analyze user shopping history and preferences, providing users with more accurate product recommendations.

In the telecommunications industry, generative AI can improve network performance and security while helping companies better manage and maintain network equipment. For example, some operators have begun to use generative AI to monitor network traffic and optimize network configurations.

In summary, as the technology of generative AI continues to mature and develop, its applications in various industries will become increasingly widespread. We look forward to the future when generative AI can bring us more convenience and innovation.

【来源】https://www.cls.cn/detail/1543841

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