Core Viewpoint - The company, Zhongke Jiangnan, is enhancing its collaboration with Tencent and Huawei in the digital government sector, focusing on innovative applications of artificial intelligence in finance [1] Group 1: Collaboration with Tencent - Zhongke Jiangnan is a key ecological partner of Tencent, aiming to deepen the application of AI technology in the finance sector [1] - The collaboration will leverage Tencent Cloud's AI model capabilities combined with Zhongke Jiangnan's industry insights to create intelligent financial solutions [1] Group 2: Partnership with Huawei - The company is recognized as a "preferred solution development partner" by Huawei [1] - Joint solutions have been released with Huawei, including an integrated financial budget management solution and a financial big data solution based on Huawei Cloud [1] - Core products have been adapted to the HarmonyOS system [1] Group 3: Future Growth and Innovation - The company is focused on continuous innovation and iteration of its mature technologies to drive future revenue and profit growth [1]

Core Viewpoint - The article discusses the challenges faced by local brands and overseas e-commerce in producing high-quality content efficiently amidst increasing competition in e-commerce and the rise of short videos as a key marketing tool [4]. Group 1: Event Overview - The event features four industry experts who will share practical cases and insights on how AIGC (Artificial Intelligence Generated Content) can overcome the bottlenecks in short video creativity and efficiency [4][6]. - The event aims to address common challenges such as the shortening lifecycle of viral products, high influencer costs, and low ROI in content production [4]. Group 2: Expert Contributions - **Jinli Intelligent**: Introduced "Super Smart Editing" and AIGC digital human platform, providing short video operations and private domain conversion solutions for major clients like Futian Automobile and Xinhua Education Group [6]. - **Changlei Capital**: Views AI marketing as a core scenario for "China SaaS to overtake," focusing on content generation, intelligent delivery, and customer conversion [6]. - **Tezan Technology**: Shares a "five-step closed loop" method for short video production, showcasing a case where a leading fast-moving consumer goods brand achieved daily content output in the tens of millions, reducing production costs by over 50% and increasing efficiency by nearly 80% [6]. - **Shumei Technology**: Discusses the growing issues of content compliance and data security with the implementation of generative AI, emphasizing the need for a robust defense and public opinion response mechanism [6]. Group 3: Event Value - The event will provide practical case studies from companies like Futian Automobile and Xinhua Education Group, dissecting how AIGC can be applied in short video production and marketing [7]. - It will address key challenges such as localization, scalability, cost ROI, and influencer marketing dilemmas [7]. - Future trends discussed will include AI head swapping, localization in 41 languages, digital human live streaming, and matrix operations for short videos [7].

模型迭代正驱动新一轮能力跃迁。推理能力提升、智能体内生化、多模态融合、自主进化。但技术突破 必须与商业逻辑对齐——算力经济学成为核心考量：通过模型蒸馏、微调等技术将千亿参数优化为百亿 级应用，可在保留推理能力的同时降低成本；算力体系建设需兼顾硬件性能和软件管理指标，要考虑吞 吐性能、稳定性、百万tokens成本、软件管理等指标，实现总成本领先。 在落地实施方面，需把握战略定力与创新弹性的平衡。建议建立顶层规划与基层创新双轨机制：在战略 层面锚定技术路线图，对技术平台、算力建设、成熟场景需在战略级规划和攻坚；在战术层面要激活一 线创造力，鼓励分支机构围绕细分场景开展敏捷试验。最终形成"主干扎实、枝叶繁茂"的智能生态，让 技术创新真正转化为业务护城河。一线网点人员用大模型做科创贷款获客分析，企业客户拜访谈参等着 用"超级有用"的小场景。在智能催收领域，大模型可理解客户意图与情绪，实现短期催收的自动化，效 率接近人工水平。 经济观察网 9月24日，百度智能云金融业务部副总经理梁俊锋在"2025中国普惠金融国际论坛"上表示， 大模型在金融领域已形成可复制的落地范式。对内场景逐步完成全岗位覆盖，依托强推理和多模态能 力 ...

"时序数据是流淌在工业里的血液，是触及工业业务核心的关键。"羚羊公司总裁徐甲甲指出，当前工业时序数据面临种类多、高质量数据稀缺、异构不稳 定、建模难四大挑战，导致检测精度低、泛化能力弱。此次基于Transformer搭建的时序基础模型，实现时序信号统一表征与多任务建模，让"沉睡数据"开口 说话。 编辑：穆皓 在石化厂区，这一技术已改写设备运维模式。当减压泵出口流量低报警时，常减压大模型融合仪表、气体报警、视频流等数据，几分钟内就诊断出过滤器堵 塞，将原本需专家现场处理的问题转化为自动诊断，设备故障诊断误报率降低46%。在某风电场，异常诊断效率提升62%；国能安徽AI辅助电力交易系统更 是将滚动撮合交易盯盘时间从1.5小时缩至15分钟，效率提升84%。 转自：新华财经 依托该大模型，三大智能体实现全链条赋能：工业智能体覆盖锻造等20余环节198道工序；能碳智能体涵盖清洁能源预测等七大场景，助力零碳园区建设； 营销智能体可让企业单日处理500个视频翻译，人工成本直降90%。 9月21日，在2025世界制造业大会"人工智能赋能新型工业化"羚羊专场发布会上，科大讯飞正式发布羚羊工业大模型3.0，其核心的时序基础模型技 ...

Group 1 - Alibaba announced a collaboration with NVIDIA to develop Physical AI, covering various aspects such as data synthesis, model training, environment simulation reinforcement learning, and model validation testing [1] - Physical AI aims to extend AI technology into the physical world by integrating multimodal perception, spatial relationship understanding, and physical rule cognition for interaction with reality [1] Group 2 - The 2025 Cloud Habitat Conference was held in Hangzhou, where Alibaba's CEO expressed that there may be more agents and robots than the global population working alongside humans, significantly impacting the real world [2] - The CEO believes that large models represent the next generation of operating systems, while AI cloud will be the next generation of computing, predicting that there may only be 5 or 6 super cloud computing platforms globally in the future [2] - Alibaba is actively advancing an investment of 380 billion in AI infrastructure and plans to increase this investment further [2] - By 2032, the energy consumption of Alibaba Cloud's global data centers is expected to increase tenfold compared to 2022, marking a significant shift in the era of superintelligence [2]

LONDON & NEW YORK & HONG KONG--(BUSINESS WIRE)--Options Bolsters Security Leadership with Microsoft Solutions Partner Specialization for Threat Detection. ...

Core Insights - Aurora Mobile Limited announced the integration of three large language models from Alibaba's Qwen series, marking a significant advancement in its intelligent technology strategy [1][4] Group 1: Integration of Technology - The integration includes Qwen3-Omni-30B-A3B, a multimodal foundation model capable of processing text, image, audio, and video, and generating both textual and spoken outputs [2] - Qwen-Image-Edit-2509 offers enhanced naturalness and consistency in image editing, available for free to all users [2] - Qwen3-TTS utilizes advanced speech synthesis technology for natural voice generation, outperforming competitors in stability tests [3] Group 2: Strategic Goals - By combining Alibaba's LLM technologies with its own services, Aurora Mobile aims to innovate in intelligent interaction, content creation, and enterprise solutions [4] - The company is focused on empowering businesses with AI to redefine user experiences through smarter and more intuitive services [4] Group 3: Company Background - Founded in 2011, Aurora Mobile is a leading provider of customer engagement and marketing technology services in China, with a focus on stable messaging services [5] - The company has developed solutions like Cloud Messaging and Cloud Marketing to assist enterprises in achieving omnichannel customer reach and digital transformation [5]

Core Insights - Aurora Mobile Limited announced the integration of three new large language models from Alibaba's Qwen series, marking a significant advancement in its intelligent technology strategy [1][4] - The integration aims to enhance the efficiency and diversity of AI solutions for users and enterprise customers [1][4] Group 1: New Technology Integration - The three models integrated are Qwen3-Omni-30B-A3B, Qwen-Image-Edit-2509, and Qwen3-TTS, which provide multimodal capabilities, advanced image editing, and natural voice generation respectively [1][2][3] - Qwen3-Omni-30B-A3B can process text, image, audio, and video, generating both textual and spoken outputs [2] - Qwen-Image-Edit-2509 offers improved naturalness and consistency in image outputs, and is freely accessible to all users [2] Group 2: Strategic Goals - By leveraging Alibaba's advanced LLM technologies, Aurora Mobile aims to unlock innovative applications in intelligent interaction, content creation, and enterprise solutions [4] - The company is focused on empowering businesses with AI to redefine user experiences through smarter and more intuitive services [4] Group 3: Company Background - Founded in 2011, Aurora Mobile is a leading provider of customer engagement and marketing technology services in China, with a focus on stable and efficient messaging services [5] - The company has developed solutions like Cloud Messaging and Cloud Marketing to assist enterprises in achieving omnichannel customer reach and digital transformation [5]

Core Insights - DingTalk showcased its AI products at the 2025 Yunqi Conference, introducing the next-generation office application DingTalk One, the first AI hardware DingTalk A1, and five other AI innovations [1] - DingTalk's CTO emphasized that the essence of AI transformation is the evolution of human-machine collaboration, where AI will act as an intelligent agent capable of cognitive and decision-making abilities [1] - The company aims to become a factory for industry models and enterprise intelligent agents, enabling businesses to build and apply their own exclusive large models efficiently and cost-effectively [1] Group 1 - DingTalk has established an AI productivity platform that assists enterprises in training exclusive models from data labeling to API deployment [1] - The company introduced a "pay-per-performance" model, allowing businesses to use AI first and pay based on results, making AI more accessible [1] - DingTalk has successfully trained the first vertical medical large model in China, achieving a "Chief Physician" professional level [2] Group 2 - Collaborations with partners like Gujia Home and Tongyi Laboratory have led to the development of industry-specific voice models that enhance AI sales assistance and service quality inspection [2] - The company is committed to creating an open, intelligent, and human-centered collaborative work platform, aiming to connect AI with the physical world across various industries [2]

Core Insights - Tencent Cloud and Jieshun Technology have entered into a strategic partnership to enhance smart city development through advanced cloud computing, audio-video technology, and AI capabilities [1][7] Group 1: Strategic Cooperation Focus - The collaboration will focus on three main areas: upgrading cloud service infrastructure, integrating real-time audio-video capabilities with access control systems, and innovating AI and edge computing solutions [3][5] - Jieshun Technology will fully integrate with Tencent Cloud's high-performance PaaS platform to ensure stable and efficient operation of its smart access control and parking systems [3] Group 2: Technological Innovations - The partnership will enable seamless integration of access control devices with WeChat, allowing users to communicate via video calls for identity verification and access management [5] - Both companies will explore joint solutions for intelligent vehicle management and anomaly detection, aiming to create a safer and smarter "people-vehicle access" management model [5] Group 3: Commitment to Sustainable Development - Jieshun Technology's Vice President emphasized that this collaboration marks a significant step in technological innovation and service expansion, aiming to break traditional boundaries in parking and community management [7] - Tencent Cloud's Vice President stated that the partnership will leverage advanced infrastructure and AI capabilities to integrate innovative cloud technologies into real-world applications, promoting a win-win scenario for technology and user value [7]