Workflow
智能经济
icon
Search documents
中国传媒大学新媒体研究院院长赵子忠:主流媒体的核心价值在于驾驭“人机共生”的新型影响力
Mei Ri Jing Ji Xin Wen· 2025-11-27 05:55
每经记者|蔡鼎 每经编辑|唐元 11月27日,由中共成都市委宣传部、中共成都市委网信办指导,成都传媒集团、成都传媒产业集团主办的"2025智媒体50人成都会议"在成都举行。 "智媒体50人会议"是成都传媒集团重磅打造的品牌会议。本届会议已步入第四个年头,以"智媒赋能园区 融合提升价值"为主题,吸引了来自北京师范大 学、中国传媒大学等高校的学术泰斗,以及蚂蚁集团、新京报等智媒领军企业的百余名专家代表齐聚一堂。 会上,成都传媒集团不仅重磅发布了"雨燕传播智能体平台"、《何以东郊》新书等五大创新成果,更促成了每经传媒与新华社国家重点实验室等多个重量级 项目的签约,展现了主流媒体在"智能+"转型深水区的硬核实力。 作为中国媒体融合领域的资深观察者与理论构建者,会议间隙,中国传媒大学教授、博士生导师,新媒体研究院院长赵子忠接受了《每日经济新闻》记者 (下称"NBD")的专访。从四年前智媒体概念的初探,到如今生成式人工智能(下称"AI")的全面爆发,赵子忠始终保持着对技术与人文关系的冷静审视。 在专访中,他从科技哲学的维度剖析了"智能体(Agent)"对媒体生产关系的重构,更以前瞻性的目光描绘了2030年的媒体图景——在 ...
世界移动通信大会(多哈)聚焦数字化转型
Xin Hua She· 2025-11-25 15:18
(文章来源:新华社) 人民财讯11月25日电,为期两天的2025年世界移动通信大会(多哈)25日在卡塔尔首都多哈开幕,大会 关注人工智能枢纽、智能经济等主题,与会者共同探讨中东和北非地区如何加速推进数字化转型。 ...
打通堵点为大市场创造更多优势
Jing Ji Ri Bao· 2025-11-25 00:42
Core Viewpoint - The article emphasizes the importance of building a unified national market to enhance domestic demand and drive economic growth in China, particularly in the context of the 14th Five-Year Plan [1]. Group 1: Market Potential and Economic Structure - China's super-large market is characterized by a steadily expanding middle-income group, advanced digital infrastructure, and a well-defined regional development pattern, which together create a robust economic ecosystem [1]. - The current population of over 1.4 billion is projected to see the middle-income group exceed 800 million in the next decade, indicating significant market potential [1]. - The diverse and tiered demand from various demographics, such as the elderly seeking health services and the younger generation desiring personalized experiences, provides ample opportunities for innovation and industrial upgrades [1]. Group 2: Reform and Demand Transformation - To convert market potential into effective demand, it is essential to deepen reforms that eliminate barriers to economic circulation, such as local protectionism and market segmentation [2]. - The construction of a unified national market will facilitate smoother movement of goods and resources, allowing local products to access broader markets at lower costs and higher efficiency [2]. - The focus should be on enhancing supply quality and optimizing income distribution alongside expanding domestic demand, addressing the shift in consumer preferences from quantity to quality [2]. Group 3: Technological Empowerment - Technology plays a crucial role in unlocking new spaces for domestic demand, with China's vast data resources and highly digitalized consumption activities extending consumption scenarios [3]. - The development of the digital and smart economy promotes deeper integration of online and offline consumption, creating new consumer hotspots and transforming supply-demand matching [3]. - Utilizing big data allows companies to gain insights into subtle changes in consumer needs, enabling precise targeting and efficient supply, thus making the super-large market dynamic and capable of generating new demands [3].
科技赋能金融 共谱产业新图景
Jin Rong Shi Bao· 2025-11-17 01:47
Core Insights - The global landscape is undergoing profound adjustments, with a strong emphasis on technological innovation and the need for financial resources to support sectors like technology and advanced manufacturing [1][2] - Financial institutions are urged to embrace digital transformation driven by data elements and digital technologies, positioning themselves to better serve technological innovation [2][3] Group 1: Financial and Technological Integration - Financial resources should be directed towards promoting technological innovation and advanced manufacturing, as highlighted by the Deputy Governor of the Bank of Communications [1] - The dual empowerment of finance and technology is essential for high-quality industrial development, with financial institutions providing strong momentum for industrial prosperity [1][2] Group 2: Digital Transformation in Finance - Financial institutions must leverage the benefits of the new technological revolution, utilizing data elements and artificial intelligence to accelerate their digital transformation [2] - The integration of finance and technology is seen as a pathway to gather more financial resources towards technological innovation, fostering a collaborative industrial ecosystem [2] Group 3: Challenges and Opportunities in Smart Economy - The smart economy presents limitless development opportunities, but companies face challenges in balancing limited computing power with infinite innovation [3] - The application of large models in business requires overcoming challenges related to understanding business needs, which can be addressed through collaborative engineering efforts [3]
“2025中国数字经济发展与法治建设论坛”在京举行
Sou Hu Cai Jing· 2025-11-16 01:07
Core Viewpoint - The forum on "2025 China's Digital Economy Development and Legal Construction" emphasizes the integration of artificial intelligence with various sectors to promote a new form of intelligent economy and society, aligning with national strategies and legal frameworks [1][3][4]. Group 1: Forum Highlights - The forum was co-hosted by several prestigious institutions, focusing on the theme of "New Forms of Intelligent Economy and Intelligent Society" [1]. - Key figures, including officials from the Chinese Law Society and Central University of Finance and Economics, delivered speeches highlighting the importance of legal frameworks in supporting the development of the intelligent economy [3][4]. Group 2: Legal and Economic Integration - The forum stressed the need for a robust legal system to ensure the sustainable and orderly development of the intelligent economy, which is seen as a core element of economic and social progress [4]. - The establishment of interdisciplinary educational programs was discussed, aiming to cultivate talents adept in both legal and technological fields to meet the demands of the digital economy [4]. Group 3: Major Events Announced - Ten significant impactful events related to the development of China's digital economy and legal construction were announced, including the issuance of government policies and legal amendments aimed at enhancing the AI sector [12]. - Notable events include the release of the "Artificial Intelligence+" action plan and the Supreme Court's publication of judicial guidelines on data rights protection [12]. Group 4: Expert Insights - Experts highlighted the dual transformation of society, emphasizing the need for legal preparations for the intelligent society while continuing to uphold the rule of law in the industrial society [7]. - The role of artificial intelligence in scientific research was discussed, with a focus on its potential to drive innovation and the necessity of a legal framework to support its sustainable development [9][10]. Group 5: Participation and Support - The forum received strong support from various sectors, including economics, technology, and law, with significant media coverage and participation from around 180 representatives and nearly a million online viewers [15].
宏观研究:PMI走势弱于季节性,投资性需求应阶段性加力
China Post Securities· 2025-11-04 06:26
Economic Indicators - The manufacturing PMI for October is at 49.0%, down 0.8 percentage points from the previous month, indicating a contraction below the seasonal level[12] - The production index within the PMI fell to 49.7%, a decrease of 2.2 percentage points, also below the seasonal norm[14] - New orders index for manufacturing is at 48.8%, down 0.9 percentage points, reflecting a decline in demand[15] Supply and Demand Dynamics - Effective demand remains insufficient, leading to inventory accumulation and suppressing price recovery, with the PPI expected to decline by approximately 2.5% year-on-year in October[26] - The new export orders index is at 45.9%, down 1.9 percentage points, indicating a significant drop in external demand[15] - The construction sector's PMI is at 49.1%, with new orders index rising to 45.9%, suggesting some resilience despite seasonal slowdowns[23] Policy Outlook - The "anti-involution" policy is expected to intensify if prices weaken further, aiming to curb disorderly competition[3] - Financial support for stabilizing the real estate sector may include lowering mortgage rates and expanding the use of special bonds for purchasing existing homes[3] - Anticipation of early deployment of fiscal policies for the next year, including setting government debt limits and issuing long-term special bonds[3] Risks - Potential risks include rising overseas sovereign debt risks and geopolitical conflicts, which could impact domestic economic stability[4]
中兴通讯韩晶昀:中拉智能经济合作潜力巨大
Zheng Zhou Ri Bao· 2025-11-04 02:26
Core Points - The article discusses the deepening cooperation between China and Latin America in the field of communication infrastructure, highlighting the achievements and potential for future collaboration [1][2]. Group 1: Achievements in Cooperation - ZTE Corporation has established deep partnerships with over 70 operators and more than 20 government and enterprise clients across more than 20 countries in Latin America since entering the market in 1998, covering nearly 60% of the region's total population [1]. - The rapid development of fiber optic networks in Latin America, along with a significant demographic advantage where approximately 65% of the population is young, presents a high acceptance of new technologies [1]. Group 2: Potential and Opportunities - Latin America has a high proportion of clean energy generation, which can meet the high energy demands of AI data centers [1]. - A significant 86% of Latin American enterprises have begun implementing or exploring generative AI, particularly in sectors such as finance, telecommunications, energy, and healthcare [1]. Group 3: Challenges and Recommendations - The region faces challenges such as uneven infrastructure development, a lack of skilled professionals, and environmental and energy crises [2]. - To fully unleash development potential, Latin American countries need to increase investment in digital infrastructure, cultivate and attract AI talent, establish appropriate regulatory frameworks, and enhance regional and international cooperation [2].
强化技术创新与合规建设,推动不良资产处置行业高质量发展
Huan Qiu Wang· 2025-11-03 10:54
Core Insights - The second summit on non-performing asset disposal and risk prevention was successfully held in Beijing, focusing on compliance and mission to explore new paths and strategies for the industry [1][2]. Group 1: Industry Overview - The summit emphasized the importance of non-performing asset disposal in maintaining national financial stability and its direct relation to the safety of the financial system and economic stability [5]. - Current economic challenges include external pressures from the U.S., necessitating a focus on technological advancement and domestic market development to enhance core competitiveness and resilience in supply chains [5]. - The rise in non-performing loans and rates indicates a need for solid economic foundations and attention to risks in certain sectors, highlighting the importance of effective asset disposal and risk prevention measures [6]. Group 2: Technological Innovation and Compliance - The summit discussed the role of intelligent economy in reshaping the asset disposal landscape, with a focus on innovation and compliance to optimize resource allocation and mitigate risks [6]. - Financial technology, including AI and blockchain, is seen as crucial for enhancing efficiency in asset disposal processes, addressing challenges such as pricing, recovery efficiency, and transparency [8]. - The integration of technology is expected to drive the industry towards greater intelligence, transparency, and compliance, creating new opportunities for asset management [8]. Group 3: Collaborative Efforts and Future Directions - The event served as a platform for over 300 participants from various sectors, including banking, asset management companies, and technology firms, to discuss collaborative strategies for the industry [14]. - The launch of the "Non-Performing Asset Disposal Industry White Paper" signifies a commitment to industry standards and best practices [9][11]. - Participants expressed a collective vision for enhancing industry self-regulation, deepening compliance awareness, and exploring innovative models for sustainable development in the non-performing asset sector [14].
百度集团副总裁袁佛玉:AI大模型正沿着两个方向进化
Bei Jing Shang Bao· 2025-10-30 02:44
Core Insights - AI is a significant driver of the intelligent economy, creating substantial value and necessitating a redesign of strategic planning, talent, and organizational mechanisms as companies can replicate expert intelligence at lower costs [3] Group 1: AI Evolution and Challenges - AI large models are evolving in two main directions: enhancing intelligent capabilities and continuously reducing costs to promote enterprise usage [3] - The first major challenge for AI implementation is computing power, which may become the most expensive cost for enterprises as AI permeates management processes, requiring a balance between "limited computing power" and "unlimited innovation" [3] - The second challenge is that agents do not understand specific business contexts, particularly in the financial industry, which is a strong adopter of large models but faces issues with agents lacking business knowledge [3] Group 2: Solutions for AI Implementation - Solutions to the challenges include three engineering approaches: model engineering to equip models with specialized knowledge, data engineering to build data for intelligent applications, and application engineering to ensure deep business involvement [3]
“北方第二城”,要变了?
Mei Ri Jing Ji Xin Wen· 2025-10-29 22:19
Economic Performance - In the first three quarters of 2023, Qingdao's GDP reached 1,337.347 billion yuan, growing by 5.4% year-on-year, with the primary, secondary, and tertiary industries increasing by 4.2%, 5.1%, and 5.6% respectively [1] - Tianjin's GDP for the same period was 1,341.608 billion yuan, with a year-on-year growth of 4.7%, and the primary, secondary, and tertiary industries growing by 2.5%, 3.6%, and 5.2% respectively [1] - The economic gap between Qingdao and Tianjin has been narrowing, with Qingdao catching up significantly in recent years [2][4] GDP Trends - In 2019, the GDP gap between Tianjin and Qingdao was approximately 230 billion yuan, which has decreased over the years [2] - By 2024, Tianjin's GDP is projected to be 1,802.432 billion yuan, while Qingdao's GDP is expected to reach 1,671.946 billion yuan, reducing the gap to around 130 billion yuan [2] Future Projections - By 2025, the GDP difference between Qingdao and Tianjin is expected to shrink to less than 5 billion yuan, indicating a highly competitive environment [4] - Qingdao has been assigned a strategic role in the "Shandong Province Construction of a Green, Low-Carbon, High-Quality Development Pilot Zone" plan, aiming for significant economic growth by 2025 [5] Industry Analysis - Qingdao's secondary industry growth rate of 5.1% and industrial added value growth of 7.7% are above the national average, but slightly below the provincial levels [5] - The latest "14th Five-Year Plan" emphasizes the importance of building a modern industrial system and maintaining a reasonable proportion of manufacturing, indicating that future urban competition will hinge on industrial capabilities [5]