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科技云报到:找到真场景,抓住真需求,这样的具身智能才是好AI
Sou Hu Cai Jing· 2025-10-10 05:10
科技云报到原创。 从ChatGPT的语言魔法到DALL·E的图像创造,虚拟世界的AI已无处不在。但当我们把目光转向现实世界,一个新名词正引发热议:具身智能。 具身智能被誉为"AI的下一站",让机器不仅会"思考",还能"行动"——从工厂的搬运机器人到养老院的陪伴助手,甚至是太空探索的机械先锋。马斯克宣 称,特斯拉的Optimus将是"通用智能的载体";谷歌DeepMind则押注机器人来破解物理世界的难题。 然而,现实远比愿景骨感。2025年,具身智能的商用化仍步履蹒跚:成本高企、效率低下、数据瓶颈频现。波士顿动力Spot在巡检场景表现不俗,但价格高 达20万元;优必选的Walker搬运箱子耗时数分钟,远逊于人类工人。 如今,技术已将其推至产业变革的商业化临界点。但我们仍必须回答三个关键问题:需要怎样的颠覆性创新,才能赋予具身智能真正的泛化行动能力?又如 何跨越从"技术可行"到"商业成功"的鸿沟,找到其不可替代的价值锚点?当"数字认知"的潜力被空前释放,我们如何将AI其转化为"物理世界"的真实生产 力? 具身智能的价值最终要靠场景落地来体现,目前多个传统行业已经尝到了技术红利。制造业、医疗健康、零售业、能源行业、 ...
美国私人财富管理协会|财富管理AI,上新
Sou Hu Cai Jing· 2025-09-29 06:26
9月25日,在2025云栖大会上,盈米基金与阿里云联合发布了国内首个财富管理领域的理财智能体评测 集"FinMCP-Bench",以及能够像金融专家一样协同工具调用来处理复杂问题的投顾智能体模型"Dianjin- Qieman-FA-Agentic"。 "随着大模型在财富管理领域的深化应用,财富管理公司都很关心自己的AI应用给客户提供的财富管理 服务到底可以打几分,金融行业也一直在翘首以待一个专属这个行业的垂直应用大模型。此次发布的测 评集和投顾智能体模型,正是为了解决这两个问题而面世的。"盈米基金高级副总裁、且慢业务负责人 林杰才说。 据了解,上述测评集和投顾智能体模型已在盈米基金旗下投顾服务平台——且慢App上应用,并成为其 AI大模型投顾服务且慢"AI小顾"迭代升级的核心引擎。此次发布,不仅是为行业提供了AI模型可度量 的权威标尺,更通过"基准评测集+垂类大模型"的双轮驱动,为行业的智能化升级树立了从技术到应用 的全新范式。 盈米基金人士介绍道,上述"FinMCP-Bench"评测集本质上是一套针对AI大模型在财富管理领域"工具调 用"能力的量化指标体系。作为国内首个专注于财富管理领域的评测基准,其区别 ...
理财AI助理“蚂小财”登上央视,现场解答行情和理财疑问
Zheng Quan Shi Bao Wang· 2025-09-24 03:55
除了帮助大众投资者解答理财困惑,蚂小财也逐渐成为金融机构、财经院校等专业人士的AI助手。据 了解,"蚂小财PRO版"已向基金公司等机构投资者开放,目前有上百家蚂蚁财富平台的合作机构在使 用,辅助投研等日常工作。"蚂小财PRO版"可辅助专业人士快速汇集市场数据和观点,洞察市场机会和 风险。 "蚂小财"能脱颖而出,得益于底层模型在金融领域的专业表现领先行业。上海财经大学发布的金融领域 大模型评估基准—FinEval 6.0评测报告显示,在国内外主流大模型中,"蚂小财"的模型底座Finix在金融 严谨性等维度表现突出、排名第一,跑赢了众多通用大模型。 浙大金融研究院副院长章华认为,金融是我国人工智能技术应用的重要场景,普惠金融、数字金融也是 我国金融五篇大文章的重要内容,AI+金融场景的创新探索,将推动我国普惠金融和数字金融从产品层 向服务层纵深发展,让专业、可靠、安全的数字普惠服务人人时时地地可得,持续推动经济和社会高质 量发展。 8月以来,沪指站上3800点但行情震荡,投资者的理财询问量暴增。蚂蚁财富数据显示,8月AI理财助 理"蚂小财"的询问量增长42%,市场波动下,蚂小财累计向用户发出832万次理性投资提醒 ...
理财AI助理蚂小财登上央视:AI让专业理财服务更普惠
Huan Qiu Wang· 2025-09-24 03:03
9月23日晚间,央视财经"金融强国—外滩大会之夜"正式播出,集中展示了国内金融科技创新发展的成 果。作为能帮老百姓理财的AI应用,蚂蚁财富旗下"蚂小财"成为主持人的"AI助理",在现场解答有关市 场行情、理财配置等专业的理财问题,表现媲美真人专业分析师,成为"人工智能+金融"领域探索的标 杆案例之一。 调研显示,投资者使用理财AI时,最大的需求是行情解读、基金分析、配置方法。对于理财用户来 说,"蚂小财"上线了盯盘、诊基等专业功能,"盯盘"功能可提炼出与持仓基金相关的国内外大事,详细 解读并提示基金净值波动风险。"诊基"功能可围绕全市场基金进行深度分析或对比,从产品表现、行业 特点、用户持仓等角度出发,提供全面且有针对性的解析与风险提示,方便用户快速、清楚了解基金产 品信息。 在蚂蚁财富APP内,"蚂小财"还首次实现了"哪里不会按哪里"的体验,用户长按页面就可唤起"蚂小 财"做解答。这一交互方式,让专业理财服务再次降低门槛,更好地服务大众。据蚂蚁财富统计,"蚂小 财"用户中有45%来自三线及以下城市。 " 蚂小财 " 金融专业表现排名第一 除了帮助大众投资者解答理财困惑,蚂小财也逐渐成为金融机构、财经院校等专 ...
金融科技AI进行时:创新应用加速落地,青年人才涌现
Guo Ji Jin Rong Bao· 2025-09-13 13:09
Group 1: Core Insights - The "2025 Inclusion·Bund Conference" in Shanghai showcased innovative AI applications in financial technology, highlighting a shift towards practical applications of AI in finance [3][7] - The Chinese government's recent policy on "Artificial Intelligence+" indicates a new phase of large-scale, commercial, and ecological development in AI, particularly in the financial sector [3][6] - AI technologies are transforming consumer experiences in finance, making professional financial services more accessible to the general public [6][9] Group 2: AI Innovations in Financial Services - Alipay introduced "AI Pay," enabling voice-activated ordering and payment through its app, marking a significant advancement in payment technology [5][6] - The AI financial assistant "Ma Xiaocai" has served millions of users, providing quick and professional responses to inquiries about market trends and fund products [6] - Ant Group upgraded its open platform to integrate AI capabilities, launching three professional AI assistants aimed at enhancing productivity for financial institutions [6][9] Group 3: Talent Development in AI and Fintech - The conference featured various AI innovation competitions, attracting nearly 20,000 young tech talents from around the world, emphasizing the importance of talent in driving fintech development [9][10] - The "AFAC Financial Intelligence Innovation Competition" has become a leading event in the fintech sector, showcasing a significant increase in participation and innovative solutions [9][10] - The competition results indicate a growing integration of AI applications in financial scenarios, reflecting the rapid penetration of AI in the financial technology landscape [9][10]
蚂蚁财富“三大专业AI助手”亮相!帮机构节省90%生产时长
Bei Ke Cai Jing· 2025-09-12 09:20
Core Insights - The integration of AI in the financial industry is accelerating in China, with regulatory support encouraging the adoption of emerging technologies like AI in investment management [1] - Ant Group has upgraded its wealth management platform to include three professional AI assistants aimed at enhancing efficiency and service quality for financial institutions [4][7] - A recent survey indicates that 70% of financial institutions are using AI tools, but the depth of usage remains low, with only 7% of users employing AI tools extensively [5] Group 1: AI Integration in Financial Services - The China Securities Regulatory Commission has emphasized the need for high-quality development in public funds, promoting the use of AI and other technologies [1] - Ant Group's wealth management platform has seen over a hundred financial institutions register for its AI assistants, which enhance research, operations, and content creation [4][7] - The AI tools are designed to improve the efficiency of investment research, operational processes, and content delivery, significantly reducing service production time by 90% for initial users [7][12] Group 2: Market Trends and User Adoption - A survey from Tsinghua University's Wudaokou School of Finance reveals that while 70% of institutions are using AI, most are only occasional users, indicating a need for deeper integration [5] - The focus of institutions is on improving efficiency in handling unstructured data, generating research reports, and identifying trading signals, with expectations for AI to act as a "smart research assistant" [5] - The shift towards AI-driven investment strategies is seen as essential for asset management firms to enhance their competitive edge [5] Group 3: AI Assistants and Their Functions - The three AI assistants introduced by Ant Group include the AI Research Assistant, AI Operations Assistant, and AI Content Creation Assistant, each targeting specific needs within financial institutions [4][7][11] - The AI Research Assistant has been adopted by 352 financial institutions, aiding in the rapid aggregation of market data and insights [7][10] - The AI Content Creation Assistant has led to a 203% increase in the production of educational content, enhancing investor engagement [7][13]
可帮金融机构节省90%生产时长,蚂蚁财富“三大专业AI助手”亮相外滩大会
Sou Hu Cai Jing· 2025-09-12 08:22
Core Viewpoint - The integration of artificial intelligence (AI) into wealth management is creating new paradigms and enhancing service efficiency, as demonstrated by Ant Group's upgraded Ant Wealth Open Platform 3.0, which introduces three specialized AI assistants for financial institutions and content creators [1][6]. Group 1: AI Assistants Overview - Ant Wealth has launched three AI assistants: AI Research Assistant, AI Operations Assistant, and AI Content Creation Assistant, aimed at improving service quality and investor experience [1][6]. - The AI Research Assistant has been registered by 352 financial institutions, helping them gather data and insights quickly [1][9]. - The AI Operations Assistant has reduced service production time by 90% for the first batch of institutions since its trial in March [1][6][9]. - The AI Content Creation Assistant has led to a 203% increase in the production of quality short videos for financial education [1][6][10]. Group 2: Industry Trends and Insights - A recent survey by Tsinghua University's Wudaokou School of Finance indicates that 70% of institutions are using AI tools, but only 7% are utilizing them deeply [4]. - The public fund industry is entering a new phase of high-quality development, with AI technology becoming a key driver for this transformation [5]. - The collaboration between AI and human advisors is expected to enhance the personalization and scientific rigor of wealth management services [5][6]. Group 3: Future Directions - Ant Wealth aims to continuously refine its AI capabilities and build a high-quality service ecosystem in collaboration with partners, enhancing investor experience [7]. - The shift towards AI-driven services marks a significant evolution in the wealth management sector, moving from product and service digitization to intelligent service delivery [6].
蚂蚁财富开放平台3.0升级:与机构全场景联合运营,开放三大AI助手
Zheng Quan Ri Bao Wang· 2025-09-12 07:13
Group 1 - Ant Group's Ant Wealth Open Platform 3.0 has been upgraded to include three AI assistants: AI Research Assistant, AI Operations Assistant, and AI Content Creation Assistant, aimed at enhancing professional services and improving investor experience [1][2] - Over a hundred financial institutions, including funds, brokerages, and banks, have registered to use the AI assistants, which assist in research, operations, and content creation [1] - The application of AI in investment research has become essential, with firms like E Fund using AI to enhance research efficiency and extract investment signals from vast data [1] Group 2 - The wealth management industry in China is transitioning to a new stage of service intelligence, driven by the development and application of AI technology [2] - The AI Operations Assistant has reduced service production time by 90% for the first batch of institutions since its trial run in March [2] - The AI Content Creation Assistant has led to a 203% increase in the number of quality educational short videos provided by financial institutions and content creators [2]
蚂蚁财富“三大专业AI助手”亮相!AI运营助手帮机构节省90%生产时长
Zhong Guo Ji Jin Bao· 2025-09-12 06:45
Core Insights - Ant Group's Wealth Management Open Platform has launched a 3.0 upgrade, introducing three AI assistants aimed at enhancing efficiency and investor experience in the financial sector [1][4] - The adoption of AI tools in financial institutions is growing, with a recent survey indicating that 70% of institutions are using AI, although deep usage remains low at only 7% [2] - The integration of AI in investment research and wealth management is seen as a necessity for improving service quality and operational efficiency [3][4] Group 1: Ant Group's AI Assistant Launch - Ant Group's Wealth Management Open Platform 3.0 introduces three AI assistants: AI Research Assistant, AI Operations Assistant, and AI Content Creation Assistant [1] - Over a hundred financial institutions, including funds, brokerages, and banks, have registered to use these AI tools, which enhance research, operations, and content creation [1][4] - The AI tools have significantly reduced service production time by 90% for initial institutions [10] Group 2: AI Adoption in Financial Institutions - A survey from Tsinghua University's Wudaokou School of Finance shows that 70% of investment research users in institutions are utilizing AI tools, with 64% using them occasionally and only 7% using them deeply [2] - Institutions are particularly interested in AI's ability to process unstructured data, generate research reports, and identify trading signals [2] - The Chinese regulatory body has encouraged the integration of AI in the financial sector to enhance the quality of investment institutions by 2025 [2] Group 3: AI's Impact on Investment Management - Fund companies are experimenting with AI to improve research efficiency and extract investment signals from large datasets [3] - The collaboration between AI and human advisors is expected to enhance personalized and scientific wealth management services [3] - AI is viewed as a critical component for asset management firms to achieve better investment outcomes [3]
2025世界人工智能大会:AI金融迈向“零幻觉、具身化、多模态”时代
第一财经· 2025-07-28 06:27
Core Insights - The article highlights the significant advancements in AI applications within the financial sector, emphasizing the shift from conceptual models to practical implementations, with keywords such as "landing," "trustworthy," and "embodied" being central to the discussions at the WAIC2025 [1][2]. AI Financial Applications Breakthroughs - The Shanghai Artificial Intelligence Finance Institute (SAIF) introduced the new Smith RM financial reasoning model, which effectively addresses hallucination issues in financial credit analysis, generating a 12,000-word credit report in 30 seconds with a hallucination rate of under 0.3%, a 97% reduction from the previous generation [3][4]. - The Agricultural Bank of China's Shanghai branch reported that the new system has assisted in approving 4.7 billion yuan in technology loans over three months, reducing the average approval time from 5.7 working days to 11 minutes [3]. Innovations in Customer Interaction - The "Xiao Jiao" embodied intelligent robot from the Bank of Communications can provide various services, enhancing customer experience and offering a new approach to intelligent financial services [5]. - Ant Group showcased the "Look and Pay" smart glasses payment solution, allowing users to complete transactions through voice commands and visual recognition, streamlining the payment process [6]. Challenges in AI Implementation - Despite the breakthroughs, the implementation of AI in finance faces challenges, as discussed in the "FinAI Artificial Intelligence Financial Leaders" roundtable. Experts emphasized that AI deployment is not merely a technical or management issue but a comprehensive integration of strategy and operations [9]. - The importance of collaboration between banks and fintech companies was highlighted, with the need for banks to embrace technology to remain competitive [9]. Future Financial Landscape - The discussion on how AI will reshape the financial landscape identified banks, tech companies, and regulatory bodies as the three main driving forces of financial innovation, with computing power being the core foundation [12]. - The potential of China's computing power in the financial sector was noted, with the country ranking second globally, despite existing challenges in chip technology [13]. Importance of Standards and Collaboration - The IEEE's efforts in developing AI standards were discussed, emphasizing the need for global cooperation and consensus in AI technology development to ensure ethical and socially responsible applications [14]. - The concept of data sovereignty and its implications for sustainable development was introduced, advocating for a new form of digital assets to promote sustainability in AI applications [14].