责任编辑：何俊熹 新浪科技讯 12月11日下午消息，蚂蚁数科CEO赵闻飙在生态伙伴大会上的表态，"AI的真正价值不仅在 于技术的先进性，更在于能否深入产业一线、解决实际问题。"为当下火热的AI产业锚定了务实方向。 新浪科技了解到，过去一年，蚂蚁数科以"技术落地"为核心目标，推动AI从实验室走进真实业务场景， 聚焦金融、能源、交通、制造等关键领域，携手近20家头部伙伴上架100余个智能体联合解决方案，宁 波银行、上海银行、新华人寿、富邦银行、昆山农商行等一批金融机构，正基于蚂蚁数科自研的金融推 理大模型，打造专属"AI大脑"。目前，蚂蚁数科服务已覆盖100%的国有股份制银行、超60%的地方性 商业银行及数百家金融机构。 目前，蚂蚁数科正将经过实践验证的AI方案推向全球：今年10月，其入选香港金融管理局生成式AI沙 盒项目，为沙盒提供AI智能体服务与AI安全产品，助力提升香港地区银行的运营效率、用户体验与风 险防控能力。目前，蚂蚁数科已服务南洋商业银行、渣打银行等超百家海外金融机构。 2025年，蚂蚁数科已与300家合作伙伴建立深度合作，共同服务超13000家终端客户。基于全年实践与伙 伴反馈，蚂蚁数科在大会上正 ...

Core Insights - The true value of AI lies not only in its advanced technology but also in its ability to address real-world problems in various industries, as emphasized by Ant Group's CEO Zhao Wenbiao at the Ecological Partner Conference [1] Group 1: AI Implementation and Industry Focus - Ant Group has focused on "technology landing" over the past year, successfully integrating AI into real business scenarios across key sectors such as finance, energy, transportation, and manufacturing, collaborating with nearly 20 leading partners to launch over 100 intelligent joint solutions [4] - The company has strategically targeted the financial sector, which has the highest data thresholds and compliance requirements, becoming the preferred partner for AI transformation in this industry, covering 100% of state-owned joint-stock banks and over 60% of local commercial banks [5] - The collaboration with Ningbo Bank has led to the development of an intelligent decision-making system that significantly improved the accuracy of complex problem responses from 68% to 91%, with response times reduced to milliseconds [5] Group 2: Technological Innovations and Applications - The AI mobile banking application launched by Shanghai Bank, powered by Ant Group's technology, allows users to perform high-frequency transactions through natural language interactions, marking a significant shift in user experience [6] - Ant Group's AI capabilities have extended beyond finance to public services, exemplified by the "Little Blue Whale" intelligent bus system in Nanjing, which has optimized public transport scheduling and improved operational efficiency [7][8] - The EnergyTS model released in March has enabled large-scale applications in the energy sector, enhancing investment decision efficiency by over 60 times and improving operational and trading outcomes by more than 10% [9] Group 3: Comprehensive Technology and Global Expansion - Ant Group has developed a full-stack product matrix focusing on business growth, user experience, and risk management, validated by its performance in global benchmarks [9] - The company has been recognized as a leader in the IDC MarketScape for its comprehensive technology capabilities and deep experience in the financial sector, and it is expanding its AI solutions globally [10] - The "Star Plan" launched by Ant Group aims to enhance partner capabilities across four dimensions, fostering a collaborative ecosystem to drive the large-scale implementation of industrial AI [11][14]

Core Insights - The 2025 Bund Conference in Shanghai highlights the evolution of fintech from a novel concept to an integral part of daily life, focusing on Real World Assets (RWA), token economy, smart investment, and AI for good [1][3][8] Group 1: Fintech Integration - Fintech has become deeply integrated into urban life in Shanghai, moving beyond theoretical discussions to practical applications that benefit small businesses and the general public [1][3] - The financing of the Malu grape through a digital asset model at the Shanghai Data Exchange exemplifies the shift towards practical applications of fintech, where investors acquire rights across the entire agricultural value chain [2][3] Group 2: AI and Financial Services - Ant Financial's launch of the first financial reasoning large model in China signifies a major advancement in AI's role in the financial sector, enabling better understanding of complex semantics and user needs [2][4] - A Shanghai bank has implemented this AI model in its mobile banking system, enhancing customer satisfaction and increasing monthly active users by 25% [2][4] Group 3: Global Positioning - Shanghai is positioned as a global leader in fintech, with five cities in China ranking among the top 20 fintech centers worldwide, surpassing the United States [4][5] - The Shanghai Financial Technology Industry Alliance's report places Shanghai third in the global fintech center development index, indicating its competitive edge [4][5] Group 4: Policy and Innovation - The Shanghai government has introduced a comprehensive action plan with 31 policy measures to enhance the city's fintech competitiveness, reflecting a strong commitment to fostering innovation [4][6] - The city has seen significant advancements in AI applications across various financial institutions, with nine vertical large models already registered [5][6] Group 5: Grassroots Impact - Innovations like the "Dazhanque" system by MyBank demonstrate the grassroots impact of fintech, providing precise credit services to farmers, with a total credit issuance of 199 billion yuan [7][8] - The Bund Conference has evolved into one of Asia's top fintech events, showcasing the city's growing influence and attracting global attention [6][7]

Group 1 - The core viewpoint is that the 科创创业50ETF fund (588660) has shown significant growth, with a 3.17% increase as of August 18, 2025, marking a six-day consecutive rise and reaching a new high since its launch [1] - The fund has accumulated an 8.52% increase over the past week as of August 15, 2025, indicating strong performance in the market [1] - Several technology companies have recently announced advancements in large model technologies, including OpenAI's GPT-5, Tencent's mixed reality model, Alibaba's AI glasses, and Ant Group's financial reasoning model, showcasing diverse applications and technological highlights [1] Group 2 - 海通国际 highlights that the large-scale deployment of AI is reshaping the semiconductor roadmap, with innovations concentrated in five key areas: advanced logic, next-generation high-performance DRAM, high-bandwidth storage and stacking, advanced packaging, and power semiconductors [2] - Applied Materials anticipates that its packaging business revenue will double in the coming years, exceeding $3 billion annually, becoming a core segment with high visibility and growth certainty [2] - The semiconductor industry is entering a new growth cycle, supported by over 100 wafer fabs under construction or expansion globally, driven by increased infrastructure investment in AI [2] Group 3 - The MACD golden cross signal has formed, indicating positive momentum in certain stocks [3]

Core Insights - Ant Group's Ant Financial Technology announced the launch of China's first commercial large model focused on financial reasoning at the World Artificial Intelligence Conference (WAIC) [1] - The introduction of the Finova evaluation benchmark and the DeepFinance training dataset is seen as a significant breakthrough in the AI application within the financial sector [1] Industry Pain Points - Despite increasing investments in AI by global financial institutions, the penetration rate of AI in core business scenarios remains low, with 93% of financial institutions expecting AI to enhance profits in the next five years [2] - A projected increase of 9% in banking profits, amounting to $170 billion, is anticipated by 2028 due to AI [2] - The complexity and specialized nature of financial scenarios create significant barriers to the application of AI, leading to a cautious approach from many institutions [4][5] Ant Group's Strategy - Ant Group's CTO emphasized a focus on vertical depth in financial and energy sectors rather than developing a general-purpose model, aiming to build a competitive edge [6] - The newly launched financial model addresses complex reasoning needs in finance through a two-phase training process, significantly enhancing its professional performance [6] - The integration of a safety assessment layer ensures compliance with financial standards, addressing the high-stakes nature of financial applications [6] Future Development Trends - The future of financial AI is expected to transition from being a tool to becoming a decision-maker, with multi-agent collaboration becoming the norm [8] - Ant Group's open-sourcing of the DeepFinance dataset aims to tackle the industry's data scarcity issue, promoting a shift towards more capable AI systems [8] - The competition in the financial AI space will increasingly revolve around compliance and accountability, with a focus on the penetration of reasoning models and cost democratization [9]