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浙江移动携华为发表517电信日活动专题演讲
Huan Qiu Wang Zi Xun· 2025-05-19 03:50
Core Insights - The event highlighted the advancements in AI technology and the innovative practices of Zhejiang Mobile in the field of AI engineering and domestic computing capabilities [1][3]. Group 1: Industry Trends - The AI industry is experiencing a "dumbbell" development trend, with a dual explosion in application scenarios and computing power demand, while the foundational model architecture is gradually converging [3]. - Zhejiang Mobile is leveraging Huawei's Ascend AI foundational software and hardware platform to establish a comprehensive domestic computing capability that covers algorithm development, training acceleration, and inference deployment [3]. Group 2: Engineering Capabilities - Zhejiang Mobile has developed a systematic AI engineering capability through long-term practical applications, integrating an AI engineering platform that includes an application center, model center, and data center [5]. - The platform supports MCP services, significantly enhancing development efficiency and reducing costs; a trusted data space solution facilitates the aggregation and circulation of high-quality datasets across multiple fields, providing compliant, precise, and traceable training data for AI large models [5]. Group 3: Practical Applications - Successful benchmark cases have been established in various sectors, including government, healthcare, and energy, showcasing the value of technology empowerment [7]. - Specific projects include: - An AI government assistant application developed for customs, addressing technical challenges through optimized algorithms [9]. - A multi-modal AI medical system at a hospital that improved the identification rate of thyroid nodules by 30% and reduced analysis time to under 10 seconds [9]. - An intelligent agent project in the power sector that enhanced technical supervision efficiency by 60% and improved terminology recognition accuracy to 95% [9]. Group 4: Future Directions - Zhejiang Mobile aims to continue innovating at both the infrastructure and service capability levels to empower AI industry development, collaborating with Huawei and ecosystem partners for deeper technical research and ecological co-construction [10].