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环球问策:如何突破AI时代的“数据悖论”
Huan Qiu Wang Zi Xun· 2025-12-01 05:24
来源:环球网 【环球网科技报道 记者 李文瑶】2025年,行业的聚光灯打在人工智能与大数据议题上。台上的讨论热 烈而宏大——大模型参数、算力竞赛、算法突破——这几乎是今年所有科技论坛的标准配置。 而在此之外,Aloudata大应科技创始人&CEO周卫林却对另一个更为"朴素"的问题着迷:当所有人追逐 模型的智能时,谁来解决数据的"脏活累活"? 图:Aloudata大应科技创始人&CEO周卫林 "数据、算力、算法,这三要素中,数据是根本,但也是最苦最累的一环。"周卫林在接受采访时直言不 讳。这位从蚂蚁集团出来的技术创业者,选择了一条看似不那么性感的赛道——数据工程。 回归数据基础 在AI成为全民热潮的今天,周卫林的创业选择显得颇为"反常规"。他没有去做大模型应用,也没有追逐 算力基础设施,而是回到了最基础的"数据清洗、整合、管理"领域。 "这不是偶然,而是必然。"他分析道,"大模型爆发后,数据需求呈指数级增长,但数据供给方式还停 留在30年前——靠ETL工程师手工劳作。需求增长百分之几百,人力不可能同步跟上。" 他提出了一个比喻:"这就好比在电动车时代,你还在用马拉车的动力系统。" 2021年,周卫林带着团队独立 ...
智能领域诞生首个AI合规“通行证”!为什么是三翼鸟
Quan Jing Wang· 2025-10-29 05:58
Core Insights - The article highlights the shift in consumer expectations for smart home technology from mere convenience to a focus on "trustworthy intelligence" that ensures data security and ethical standards. [1][3] - Haier's Three Wings Bird platform has achieved a significant milestone by obtaining the ISO/IEC 42001 certification for artificial intelligence management, becoming the first company in the smart home sector to hold this compliance "pass." [1][2] Summary by Sections - **AI Governance Capability**: Haier's Three Wings Bird has established a comprehensive management system that integrates the ISO/IEC 42001 standard across all applications, including AI voice, AI vision, and health preservation models, ensuring compliance at every stage from design to operation. [1] - **Holistic Protection Network**: The certification extends beyond the platform to include core smart appliances like refrigerators, washing machines, and televisions, providing consistent safety assurances for users whether they use individual products or a complete smart home setup. [2] - **User-Centric Compliance Design**: The platform's compliance design caters to user needs, such as adjusting lighting based on environmental data without collecting personal behavior data, making "trustworthy intelligence" a tangible and reassuring experience for users. [3] - **Strategic Advantage**: The certification positions Haier's Three Wings Bird favorably in the international market, especially with the emergence of regulations like the EU's Artificial Intelligence Act, allowing the company to lead in compliance and innovation. [3] - **Industry Competition Evolution**: The article notes a shift in the competitive landscape of the smart home industry from a focus on technical specifications to a broader competition that includes safety, trust, and sustainability, with Haier setting a benchmark for transitioning from "functional intelligence" to "trustworthy intelligence." [3]
从智能到可信智能!三翼鸟获行业首个AI管理认证
Quan Jing Wang· 2025-10-25 02:38
Core Insights - The integration of artificial intelligence into daily life has shifted user expectations from basic functionality to a heightened focus on data security and privacy protection [1][2] - Haier's SanYingNiao platform has achieved ISO/IEC 42001 certification, marking a significant advancement in the smart home industry towards "trustworthy intelligence" [1][3] Group 1: Certification and Security Measures - The ISO/IEC 42001 certification, awarded by the global authority DNV, encompasses the design, development, testing, and operation of AI applications in smart appliances and homes [2] - Specific applications include AI voice interaction that does not "eavesdrop," and AI visual recognition that strictly adheres to boundaries, ensuring user data is encrypted throughout its lifecycle [2] Group 2: Building User Trust and Industry Transformation - The certification addresses the trust gap in the smart home industry, which has historically lacked comprehensive security controls across technology, products, platforms, and ecosystems [3] - Haier has established a complete ISO/IEC 42001 certification system internally and has successfully certified core appliances like refrigerators, washing machines, and televisions, creating a robust safety net [3] - This replicable management system enhances the quality and compliance of AI products by systematically identifying, assessing, and managing risks throughout AI development, deployment, and operation [3]