导语：AI股们集体上涨，科大讯飞为什么没上车？ 2025是AI应用的元年，也是AI股爆发的元年。 国外视野上，2025财年微软、META、谷歌、亚马逊四家公司的资本支出有望超过3172亿美元，较2024财年增长约49.6%。 国内近日来百度、阿里、腾讯等巨头股价扶摇直上，百度创下2023年10月以来的新高；阿里大涨5.28%，腾讯控股市值也在时隔3年重回6万亿港元。 除了互联网巨头们吃到了AI引擎的红利外，老牌AI股们也迎来了一波小高潮，像商汤科技最近也是创下近52周新高，市值突破千亿港元大关。 反过来看科大讯飞呢，自IPO以来总体可以说一路走高，涨了多少年了。资本市场给科大讯飞的机会与时间很多了，夸张些说科大讯飞是资本的宠儿都不为 过。 当然科大讯飞硬实力也够打，像讯飞星火V4.0Turbo，七大核心能力全面超过GPT-4Turbo，数学和代码能力超越GPT-4o，国内外中英文14项主流测试集中实 现了9项第一。 能力很突出，但老毛病却一直没改。 但在一片蒸蒸日上的态势下，曾经有着"AI第一股"之称的科大讯飞却没大动静，天眼查APP数据显示，科大讯飞最近股价趋于平稳，没有登上这波AI股的狂 欢列车。 | 基 ...

在模型能力快速迭代之下，如何落地AI成了所有人关心的一个话题。 原因很简单，尽管AI能力很强，但如何将这些「魔法」真正融入到自己复杂又具体的业务流程中，成 了一道难以逾越的鸿沟。 这不，为了解决这个问题，硅谷开始重新兴起了一个新的模式：FDE。 简单说，FDE就是一个驻扎在客户现场的工程师，负责填补"产品能做什么"和"客户需要什么"之间的巨 大鸿沟。 这模式现在有多火？YC的招聘网站上，已经超过100家上百家AI Agent公司在招FDE，连OpenAI自己也 组建了FDE团队，专门服务大客户。 甚至连 Bob McGrew（Palantir前高管、OpenAI 前首席研究员）都忍不住调侃：他去参加 AI 创业者大 会，大家对 ChatGPT 或 GPT-4 没啥兴趣，全场只想问他一件事——Palantir 的 FDE 模式到底怎么玩？ 今天乌鸦君就来聊聊，这个十几年前又重又累的模式，为什么在AI时代突然就火了？ 01 FDE模式，撑起4000亿美金的Palantir FDE模式，最早源于Palantir。 甚至毫不夸张的说， FDE模式撑起了如今4000亿美金的Palantir。 故事还要从Palantir ...

Core Viewpoint - The year 2025 is seen as a critical juncture for the practical application of enterprise-level AI, transitioning from experimental tools to essential components of business operations, despite challenges in scaling and execution [1][5]. Group 1: AI Implementation Challenges - Companies face significant gaps between AI technology awareness and practical application, with discrepancies in understanding and goals between management and execution teams [8]. - A majority of AI projects (90%) fail to meet expectations, with 70% of executives reporting unsatisfactory results, primarily due to viewing AI merely as a tool rather than a collaborative partner [16][18]. Group 2: Data Quality and Management - Data quality issues span the entire data lifecycle, affecting AI implementation outcomes, with many CIOs questioning the value of accumulated data [31][33]. - The Hong Kong Hospital Authority has accumulated nearly 6 billion high-quality medical data points over 30 years, emphasizing the importance of structured data for effective AI application [36]. Group 3: AI Reliability and Interpretability - As AI becomes more widely adopted, ensuring the reliability and interpretability of AI technologies is crucial, particularly in high-stakes environments like finance [21][24]. - The "model hallucination" issue, where AI generates incorrect information, poses significant challenges for trust and compliance in sectors requiring high accuracy [23][28]. Group 4: Scene Selection for AI Projects - Companies often struggle with selecting appropriate AI application scenarios, caught between the allure of technology and practical business needs [44]. - The case of Yixin demonstrates how AI can transform financial services by providing tailored solutions to underserved markets, highlighting the importance of aligning technology with user needs [46][48]. Group 5: Knowledge Base Development - A dynamic and continuously updated knowledge base is essential for maximizing the value of AI applications, moving from static information storage to knowledge-driven processes [78][80]. - The Eastern Airlines' approach to knowledge management illustrates the shift towards integrating AI into operational processes, enhancing efficiency and service quality [83]. Group 6: Human-Machine Collaboration - The evolution of AI agents from simple task executors to collaborative participants in complex business scenarios is critical for digital transformation [87]. - Companies like Midea are leveraging AI to enhance production efficiency and redefine operational models, demonstrating the potential of AI in driving business innovation [89][91]. Group 7: Talent Acquisition and Development - The competition for AI talent is intensifying, with a significant mismatch between the demand for skilled professionals and the available talent pool, highlighting the need for strategic talent management [97][99].

Core Insights - The 2025 ITValue Summit is positioned as a pivotal event for the practical implementation of enterprise-level AI applications, marking a transition from experimental tools to essential components of business operations [1] - The summit will address ten core challenges faced by enterprises in the AI implementation process, including strategic consensus, data quality, scenario selection, model selection, industry application, reliability and compliance, human-machine collaboration, and talent bottlenecks [1][11] Group 1: Annual Speech and Key Issues - A six-hour annual speech will systematically explore the ten most challenging issues in AI implementation, featuring insights from both problem proposers and solution providers [2] - Each topic discussed will be rooted in real enterprise dilemmas, aiming to provide concrete answers and facilitate deep exchanges among participants [2] Group 2: Industry-Focused Workshops - The summit will include multiple closed-door workshops focusing on industry pain points across sectors such as aviation, hospitality, healthcare, manufacturing, retail, finance, and international business [3] - A special session for CIOs and CFOs will emphasize the valuation of AI investments and collaborative decision-making between technology and financial management [3] Group 3: Innovation and Best Practices - The "Innovation Scenarios 50" list will be released, showcasing the most representative AI application cases from the past year, highlighting how businesses have realized value through AI [4] - This initiative aims to promote cross-industry experience sharing and collaboration, helping more companies learn from successful examples [4] Group 4: Networking Opportunities - In addition to the formal agenda, the summit will facilitate high-value networking opportunities through events like the "Billion Club," CXO breakfast meetings, and evening dinners, fostering trust and cognitive exchange among business leaders [5] - The summit has a 16-year history of supporting enterprises through their evolution from informatization to digitalization and now to intelligentization [5]

Core Insights - Baidu Intelligent Cloud has been the leader in China's AI public cloud market for six consecutive years, emphasizing the importance of AI technology in various industries and the deployment of large models [1] - The company announced a further upgrade in three dimensions: products, policies, and pathways, sharing a 1 billion yuan opportunity in large models and launching over 1,000 large model courses [1] - The year 2025 is highlighted as a critical year for AI implementation, with a focus on collaboration with partners to enhance the ecosystem [1] Group 1 - Baidu Intelligent Cloud is collaborating with partners to explore AI applications across various industries, including a successful bid for the China Electronic Port Data Center project [2] - The company is expanding its partnership boundaries, promoting deep integration of AI with different sectors, and has launched the "Enterprise Intelligent Body Alliance" to accelerate the deployment of intelligent agents [3] - The second batch of large model industry partners includes ten companies, indicating a growing ecosystem around Baidu's AI capabilities [3] Group 2 - The company has introduced a new cloud computing ecosystem that integrates production, sales, and services, aimed at enhancing the capabilities of its partners [1][3] - Baidu Intelligent Cloud's initiatives are expected to generate significant growth in the large model industry, with a shared growth opportunity exceeding 10 billion yuan [3] - The focus on AI in education and manufacturing sectors is evident, with partnerships aimed at developing AI training solutions and applications [2]

前两期我们探讨了大热的Agent应用及营销服环节的AI落地，也已经有千岛湖啤酒、Lola Rose、小仙炖等实战型决策 者们参与其中，他们的评价是："信息密度很大，回去立刻能落地业务。" 出品 | 虎嗅智库 头图 | AI生成 过去一年，几乎每个老板都在被AI"轰炸"：ChatGPT、Manus、Agent……热闹是热闹，但大家心里更焦虑了： AI到底能不能真正帮到我的生意？是马上能用，还是得再等几年？落到供应链这个关键环节，它会带来什么改变？ 这便是虎嗅智库打造AI落地研学营的价值。 我们只做一件事：帮企业老板们找到 AI真正能落地的业务并学会怎么落地。 AI落地研学营部分用户分享截图 现在，AI落地研学营第三期来了。 9月17日，上海，我们将深入"供应链"这个所有零售消费企业的"生死关"，探讨AI如何让供应链实现柔性与智能。 柠季CEO金山将会分享，新茶饮出海，如何用AI搭建全球化组织及供应链？ 叮咚买菜CTO蒋旭，则会从前置仓模式角度聊聊，AI如何在生鲜供应链里实现降本增效？ 特赞首席战略官任远，会谈谈内容供应链先锋们，如何用AI驱动内容的"批量+个性化"生产？ 蜀海供应链信息总监张继恒，也会分享作为海 ...

"下一轮的AI，卖的不是工具，而是收益。"在150位全球顶尖AI创始人齐聚的红杉资本会场之中，大家 得出了这个观点。而当AI从技术走向应用落地的过程中，企业应当如何做，才能以更具"性价比"的方 式，更快、更好地落地？ 在钛媒体2025 ITValue Summit前瞻之AI落地指南系列直播中，钛媒体集团联合创始人、钛媒体研究院院 长万宁与阿里云智能集团智能工业与物联部总经理许呙兢、瀚蓝环境副总裁曾飞对话，围绕企业AI如 何落地、技术复制等话题展开了讨论。 瀚蓝环境深耕垃圾固废处理行业已经近二十年，是国内环境服务业十强、固废处理十大影响力企业，垃 圾焚烧规模近10万吨/日，位居A股第一、行业前三，通过将多年积累的行业Know-How，加上阿里云提 供的在AI方面的能力，打造了智能垃圾焚烧的典型案例。双方从2019年开始合作，一直秉持着创新的 理念，探索如何能够提升垃圾焚烧过程中的无人化水平、稳定度以及减少垃圾焚烧过程中污染物的排 放。 在分享中，曾飞表示，垃圾焚烧处理是一个很复杂的系统，一方面要面对焚烧过程中的精准调控难题： 炉内的燃烧温度、空气配比等参数需实时匹配垃圾特性变化，既要保证充分燃烧，又要避免过度消 ...

Market Overview - The three major indices opened mixed, with the Shanghai Composite Index down 0.30%, the Shenzhen Component Index up 0.05%, and the ChiNext Index up 0.65% [1] - CPO and PCB sectors showed strong performance, while military and non-ferrous metals sectors faced declines [1] Index Performance - Shanghai Composite Index: 3604.70, down 0.30%, with 496 gainers and 1485 losers, trading volume of 61.38 billion [2] - Shenzhen Component Index: 11208.46, up 0.05%, with 576 gainers and 1931 losers, trading volume of 81.28 billion [2] - ChiNext Index: 2382.97, up 0.65%, with 303 gainers and 924 losers, trading volume of 39.09 billion [2] External Market Influences - U.S. Federal Reserve Chairman Jerome Powell's remarks dampened interest rate cut expectations, leading to mixed performance in U.S. markets [3] - Dow Jones Index fell 0.38% to 44,461.28 points, S&P 500 Index fell 0.12% to 6,362.90 points, while Nasdaq Index rose 0.15% to 21,129.67 points [3] - Notable declines in popular Chinese concept stocks, with the Nasdaq Golden Dragon China Index down 1.82% [3] Industry Insights - Citic Securities predicts a recovery in the photovoltaic industry chain, driven by market normalization and potential supply-side reforms [4] - Huatai Securities identifies a new phase for AI, with significant growth in server and robotics industries, emphasizing application opportunities in various sectors [5] - Tianfeng Securities highlights potential in the chemical sub-industry, focusing on sectors like soda ash and coal chemicals for "anti-involution" strategies [6] - Zhongxin Jian Investment notes that process industrial equipment may benefit from equipment updates and coal chemical construction, with a focus on market resilience [7][8]

Group 1: Market Overview - The market experienced volatility with mixed performance across major indices, where the Shanghai Composite Index reached a new high for the year, while high-profile stocks like Dongxin Peace saw significant declines [1] - The total trading volume in the Shanghai and Shenzhen markets was 1.84 trillion, an increase of 41.1 billion compared to the previous trading day [1] - Sector performance varied, with gains in film, oil and gas, baby products, and food sectors, while losses were noted in stablecoins, solid-state batteries, software development, and rare earth permanent magnets [1] Group 2: AI Industry Insights - Huatai Securities indicated that the AI industry is entering a new phase driven by token growth, with significant applications in vertical scenarios across various fields such as office, healthcare, and finance [1] - There is a continuous increase in demand for server computing power, with vendors focusing on promoting post-training and inference computing services based on large models, presenting revaluation opportunities [1] - The development of generative AI shows a trend where B2B applications are advancing faster than consumer-level products, indicating a clear lead in commercial progress [1] Group 3: Process Industry Equipment - CITIC Construction Investment highlighted that the process industry equipment sector is expected to benefit from the renewal of existing equipment and the advancement of coal chemical construction [2] - The capital expenditure in the petrochemical sector is projected to decline significantly by over 20% in 2024, while investment in the northwest coal chemical sector is being actively promoted [2] - The equipment renewal policies are providing long-term resilience for investments in process industry equipment, with a focus on key areas such as coal chemical, equipment renewal, overseas expansion, and domestic substitution [2] Group 4: Photovoltaic Industry Outlook - CITIC Securities noted that the photovoltaic industry, characterized by low-price competition and temporary overcapacity, is at the forefront of the current "anti-involution" movement [2] - With a market-oriented approach, the industry is expected to see a reasonable price recovery and profit restoration as it returns to normalized competition and potential supply-side reforms are implemented [2] - Technological innovation is deemed essential for overcoming the challenges of homogenized competition, with companies that have product differentiation and brand advantages likely to experience early performance reversals and long-term growth [2]

Core Insights - Nearly 60% of AI projects globally fail before implementation, highlighting significant challenges in successfully deploying AI technologies [1][2] - Only 41% of generative AI pilot projects successfully transition to production, indicating a gap between expectations and reality in AI adoption [2][5] Group 1: Challenges in AI Implementation - The current phase of AI deployment is chaotic, lacking a clear roadmap or methodology, leading organizations to struggle in adapting successful external AI applications to their own contexts [3][5] - A lack of a universally accepted ROI evaluation framework complicates value benchmarking across different enterprises and industries [5] - 85% of industrial data remains unutilized, indicating a significant barrier to unlocking AI's potential value [5] Group 2: Talent and Organizational Structure - 53% of executives identify the lack of talent capable of integrating AI with business operations as the primary obstacle to successful AI implementation [5] - Nearly 50% of companies find their existing organizational structures and decision-making processes inadequate for scaling and optimizing AI projects [5] Group 3: Upcoming Event - 2025 ITValue Summit - The 2025 ITValue Summit will take place from September 11 to 14 in Sanya, focusing on the ten critical issues surrounding AI deployment [6][10] - The summit will feature a six-hour annual presentation addressing the urgent problems of AI implementation, with insights from industry leaders and practitioners [7][10] - The event aims to create a deep, continuous, and focused environment for discussing AI challenges, moving away from fragmented information exchange [3][7]