For businesses, visibility into tech spending and the ability to forecast costs, especially with many services consumed on a pay-as-you-go basis, is a challenge that can only be effectively addressed by technology business management (TBM). Every company wants to be a tech savvy company, but this requires gathering data and analysing it for insights to improve processes and develop new business models. By feeding data into AI engines, enterprises accelerate transformation by automating processes and reduc ...

Company Overview - F5, Inc. is based in Seattle and specializes in keeping important applications and online services safe, fast, and always available [1] - The company's products are positioned in front of applications and APIs to provide protection [1] Investment Focus - The analysis primarily targets small- to mid-cap companies, which are often overlooked by many investors, while also occasionally reviewing large-cap companies for a broader market perspective [1]

Group 1 - The core theme of the event was "Work Methods in the AI Era," focusing on the evolution of human-machine collaboration [1] - DingTalk's CTO, Zhu Hong, emphasized that AI will evolve into an "intelligent agent" with cognitive and decision-making capabilities, enhancing efficiency and decision-making processes [1] - DingTalk aims to become a factory for industry models and enterprise intelligent agents, enabling businesses to build and apply their own exclusive large models at low cost and high efficiency [1] Group 2 - DingTalk introduced a pioneering "pay-per-performance" AI model, allowing enterprises to use AI with reduced financial risk, thus promoting wider adoption [2] - The company has successfully trained China's first vertical medical large model, achieving a "Chief Physician" professional standard, showcasing its capabilities in specialized fields [2] - DingTalk is committed to creating an open, intelligent, and human-centered collaborative work platform, facilitating deep integration of AI into various industries [2]

Core Viewpoint - The announcement highlights the collaboration between AsiaInfo Technology (1675.HK) and Alibaba Cloud, marking AsiaInfo as a cloud computing project delivery capability center, showcasing Alibaba Cloud's recognition of AsiaInfo's capabilities in AI large model application delivery [1] Group 1 - AsiaInfo Technology has signed a cooperation contract with Alibaba Cloud, establishing itself as a cloud computing project delivery capability center [1] - The partnership will focus on joint product development and service cooperation in areas such as Tongyi Qianwen large model, AI integrated machine, and AI large model security solutions [1] - The collaboration aims to promote the implementation of "Artificial Intelligence +" across various industries through native application development and market expansion [1]

Core Insights - Trust Stamp has announced a Partnership Brief published by Intel Corporation, highlighting its AI-powered identity platform "Protect" which focuses on privacy-first, real-time identity verification using AI-optimized biometrics [1] Group 1: Technology and Features - Trust Stamp Protect™ utilizes Intel® Xeon Scalable Processors® to provide real-time identity matching with high throughput and low latency, capable of deployment across cloud, edge, and hybrid infrastructures [2] - The platform employs quantized AI models optimized with Intel's OpenVino™, which reduces model size and latency, allowing for deployment in resource-constrained environments [2] - Trust Stamp's identity platform incorporates advanced facial biometrics, liveness detection, and privacy-preserving tokenization, replacing traditional One-Time-Passwords (OTPs) with a selfie-based experience for real-time 1:1 identity matching [3] Group 2: Market Applications and Benefits - The solution is designed for scalability and speed, minimizing latency and model size, which enables secure, low-friction authentication across digital banking, fintech, and KYC/AML workflows [3] - Trust Stamp's technology empowers financial institutions to reduce fraud and meet compliance requirements while maintaining user privacy [3] - The company has over one hundred financial institutions enrolled on its Orchestration Layer, indicating strong market adoption and the need for flexible, low-friction solutions [4] Group 3: Company Overview - Trust Stamp is a global provider of AI-powered services across various sectors, including banking, finance, regulatory compliance, government, healthcare, real estate, communications, and humanitarian services [5] - The company aims to reduce fraud, tokenize and secure data, authenticate users securely while protecting personal privacy, and enhance operational efficiency, thereby facilitating secure financial inclusion [5] - Trust Stamp operates with a diverse team from twenty-two nationalities across eight countries, and it is listed on the Nasdaq Capital Market under the ticker IDAI [6]

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].

Group 1 - The core viewpoint is that large models in the financial sector have established replicable implementation paradigms, enhancing efficiency in various internal and customer-facing scenarios [1] - Baidu's collaboration with clients shows that 80% of mobile banking marketing materials are generated by large models for designers to modify and publish, indicating the effectiveness of AI in financial services [1] - The iteration of models is driving a new wave of capability leaps, with improvements in reasoning ability, internalization of intelligent agents, multi-modal integration, and autonomous evolution [1] Group 2 - A balance between strategic determination and innovative flexibility is essential for implementation, suggesting a dual-track mechanism of top-level planning and grassroots innovation [2] - The strategic level should anchor the technology roadmap, while the tactical level should activate frontline creativity, encouraging agile experimentation around niche scenarios [2] - In the intelligent collection field, large models can understand customer intentions and emotions, achieving automation in short-term collections with efficiency close to human levels [2]

"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]