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埃森哲大中华区技术服务事业部总裁俞毅:企业应以“技术+人才+信任”构建AI时代数字核心
Jing Ji Guan Cha Bao· 2025-05-01 02:23
作者 沈建缘 以DeepSeek为代表的高效AI大模型,正推动生成式AI从通用工具向深入具体业务流程的解决方案演 进。 但生成式AI应用从推动产业升级到驱动社会价值和商业价值的爆发式增长,完成新一代工业革 命,还需要经历量变到质变的过程。 日前,埃森哲发布主题为"AI自主宣言"的《技术展望2025》。探讨了AI的自主性将如何塑造未来。随着 AI以远超过往任何技术的速度在企业和社会中得到应用和普及,超过七成(75%)的中国受访企业高管 认为,企业重塑任务紧迫。 报告表明,AI能否像预想的那样产生广泛而积极的影响,至关重要的前提之一,就是人们对AI的信 任。埃森哲大中华区技术服务事业部总裁俞毅表示:"技术革新促使领导者重新思考数字系统的设计方 式和团队的工作方式,也在不断重塑打造产品的方式及与客户互动的方式。信任是这一切转变的基础, 因为只有当系统值得信赖时,我们才会放手让其自主运行。" 长期以来,传统技术一直在帮助企业处理各种预先设定的业务需求。如今,随着知识数字化、新型AI 模型、智能体系统和架构等领域的进步,企业迎来了新一代的转型。各种通用AI系统更为自主,可以 助力企业比以往任何时候都更灵活、更智能和高效 ...
构建有韧性的科研体系
Ke Ji Ri Bao· 2025-04-28 01:19
Core Viewpoint - The construction of a resilient scientific research system is essential for ensuring national technological security and achieving self-reliance in science and technology, especially in the context of increasing global technological competition and geopolitical tensions [3][8]. Group 1: Challenges to the Research System - The scientific research system faces multiple challenges, including accelerated technological iteration, interdisciplinary collaboration risks, sudden public events, and uneven resource distribution [2][4]. - The rapid development of technology brings ethical and regulatory issues, as well as disruptive changes in research paradigms, posing adaptability challenges to traditional research organizational models [2][3]. Group 2: Necessity for a Resilient Research System - A resilient research system is particularly necessary for China due to increasing international competition and sanctions from developed countries, which hinder international research cooperation and access to research facilities [3][4]. - The lack of an independent and self-sufficient research ecosystem in China, along with limited international academic discourse power and weak foundational research, necessitates the establishment of a resilient research system [3][4]. Group 3: Strategies to Enhance Resilience - Enhancing the resilience of the research system should focus on four aspects: technological resilience, institutional resilience, organizational resilience, and social resilience [4][5]. - Strengthening technological resilience involves improving independent innovation capabilities and developing backup plans for critical technologies to mitigate risks from potential technological blockades [4][5]. - Institutional resilience requires continuous evolution and improvement of existing systems to enhance risk resistance, including the establishment of flexible legal frameworks and risk assessment mechanisms [5][6]. - Organizational resilience can be improved by increasing flexibility in resource allocation and fostering collaboration among various research entities to optimize strategies and share resources [6][7]. - Social resilience emphasizes the importance of public engagement and support for scientific research, enhancing scientific literacy, and fostering a stable social environment for technological development [7][8].