Core Viewpoint - The company, Huitongda Network (09878.HK), has signed a comprehensive cooperation agreement with Alibaba Cloud to explore innovations and applications in artificial intelligence and digital solutions, focusing on cloud computing, AI, and digitalization in lower-tier markets [1] Group 1: Cooperation Details - The cooperation will involve full-stack AI collaboration, where the company will integrate Alibaba's Tongyi Qianwen large model to develop various AI applications, including smart agents for sales and customer service [1] - The partnership aims to enhance the company's S2b2c supply chain intelligence service capabilities through AI-driven solutions [1] - Alibaba Cloud will provide dedicated cloud computing resources to ensure high availability and elastic scalability for the company's operations, facilitating rapid iteration of industry models [1] Group 2: Expert Support - Alibaba Cloud will deploy a team of experts, including solution architects and large model technology service specialists, to assist the company in developing full-stack AI product applications [1]

Core Viewpoint - The company has signed a comprehensive cooperation agreement with Alibaba Cloud to explore innovations and applications in artificial intelligence and digital solutions, enhancing collaboration in cloud computing and digitalization in the lower-tier market [1][2]. Group 1: Areas of Cooperation - The cooperation will focus on full-stack AI collaboration, integrating Alibaba's Tongyi Qianwen model with the company's retail industry expertise to create various AI-driven solutions, enhancing supply chain intelligence and marketing capabilities in the lower-tier market [2]. - The partnership will also involve cloud resources and computing power, with Alibaba Cloud providing dedicated cloud resources to ensure high availability and scalability for the company's AI model training and inference [2]. Group 2: Market Impact and Strategic Benefits - The collaboration aims to leverage the strengths of both the company and Alibaba Cloud in technology, market, and resource integration, creating a new "AI + industry" ecosystem that meets the needs of the lower-tier market and enhances customer acquisition and service revenue [3]. - The partnership is expected to provide the company with advanced AI technologies and upgrade its AI + SaaS solutions, improving its competitiveness in smart retail, membership operations, and smart supply chain sectors, aligning with the interests of the company and its shareholders [3].

Core Viewpoint - The company, Huitongda Network, has signed a comprehensive cooperation agreement with Alibaba Cloud to explore innovations and applications in artificial intelligence and digital solutions, focusing on cloud computing and the digitalization of lower-tier markets [1][2]. Group 1: Areas of Cooperation - The cooperation will involve full-stack AI collaboration, integrating Alibaba's Tongyi Qianwen large model with the company's retail industry expertise to create various AI-driven solutions, enhancing supply chain intelligence and marketing capabilities in lower-tier markets [2]. - The partnership will also include cloud resources and computing power collaboration, with Alibaba Cloud providing dedicated cloud resources to ensure high availability and scalability for the company's operations, facilitating AI model training and iteration [2]. Group 2: Market Impact and Strategic Benefits - The comprehensive cooperation is expected to leverage the strengths of both the company and Alibaba Cloud in technology, market, and resource integration, creating a new "AI + industry" ecosystem that meets the needs of lower-tier market users and enhances customer acquisition and service revenue [3]. - The partnership aims to improve the company's digital competitiveness in smart retail, membership operations, and smart supply chains, aligning with the overall interests of the company and its shareholders [3].

Core Viewpoint - The collaboration between 汇通达网络 (09878.HK) and 阿里云 aims to leverage artificial intelligence and digital solutions to enhance operational efficiency and customer engagement in the retail sector, particularly in underdeveloped markets [1][2][3] Group 1: Collaboration Areas - The partnership will focus on full-stack AI collaboration, integrating 阿里云's large model capabilities with 汇通达's retail industry expertise to create various AI-driven tools such as "Smart Store Model," "AI Sales Agent," "Sales Forecasting Agent," and "AI Customer Service Robot" [2] - 阿里云 will provide dedicated cloud resources and computing power to support the training and inference of AI models, ensuring high availability and scalability for 汇通达's operations [2] Group 2: Market Impact - The collaboration is expected to enhance the technological and resource integration capabilities of both companies, creating a new "AI + Industry" ecosystem that addresses the needs of underdeveloped market users [3] - By leveraging AI technology, 汇通达 aims to improve operational efficiency and precision in product recommendations, ultimately increasing customer numbers and service revenue in the underdeveloped market [3]

香港交易及結算所有限公司及香港聯合交易所有限公司對本公告的內容概不負責，對其準確性 或完整性亦不發表任何聲明，並明確表示，概不對因本公告全部或任何部份內容而產生或因倚 賴該等內容而引致的任何損失承擔任何責任。 Huitongda Network Co., Ltd. 匯通達網絡股份有限公司 （於中華人民共和國註冊成立的股份有限公司） （股份代號：9878） 自願性公告 與阿里雲簽訂全面合作協議 本公告由匯通達網絡股份有限公司（「本公司」），與其附屬公司統稱「本集團」）自 願作出，以讓本公司股東及潛在投資者知悉本集團的最新業務進展。 本公司董事（「董事」）會（「董事會」）欣然宣佈，於2025年8月8日，本公司與阿里 雲計算有限公司（「阿里雲」）簽訂全面合作協議（「全面合作協議」），雙方通過資源 整合與優勢互補，共同探索人工智能和數字化解決方案的創新及應用前景，深化 雲計算、人工智能及下沉市場數字化領域的協同合作（「全面合作」）。 根據全面合作協議，本集團及阿里雲預期於以下領域展開合作，包括： 1 (i) 全棧AI合作：本集團將接入通義千問大模型，結合本集團在零售行業的深度 經驗，將大模型及相關AI能力與本集團產業 ...

Group 1: Policy and Development - The State Council issued an opinion to enhance the "efficient handling of key matters" mechanism, emphasizing efficient resource allocation and the prevention of waste in government services [1] - The opinion aims to promote the application of new technologies like AI in government services while ensuring safety and improving user experience [1][2] - China's digital government development index (EGDI) improved from 0.8119 in 2022 to 0.8718 in 2024, ranking 35th globally, an increase of 8 places from 2022 [2] Group 2: Market Growth and Trends - The overall market size for government cloud services in 2024 is projected to be 93.94 billion RMB, with a year-on-year growth of 18.4% [2] - The dedicated government cloud market is expected to reach 66.33 billion RMB, growing by 19.0% year-on-year, while the public government cloud market is projected at 17.24 billion RMB, with a growth of 12.2% [2] - The cloud operation service market is anticipated to grow by 26.1%, reaching 10.36 billion RMB [2] Group 3: Industry Insights - The government cloud market is experiencing stable growth, with infrastructure holding a significant market share, driven by increased demand for computing power due to AI model development [3] - The integration of AI in government services is expected to enhance efficiency and reduce costs, with a broad market potential across various sectors like procurement, finance, and taxation [3] - The push for AI in government services is largely driven by top-down initiatives, indicating a rapid implementation of AI+government services [3] Group 4: Key Companies and Innovations - China Telecom is focusing on "AI + digital government" initiatives, leveraging data value and enhancing security in public services [4] - SenseTime, a leading AI algorithm provider, is applying its technology in smart city and public management projects, improving service efficiency through AI solutions [4] - China Software International is providing comprehensive AI + government services, helping governments transition to intelligent operations through AI, big data, and cloud computing [4] - Tencent is utilizing its social media platforms and cloud capabilities to create digital solutions for public services, integrating various government services into its ecosystem [5]

Core Viewpoint - The competition for generative AI in regional banks has shifted from technological exploration to value realization, making it essential for these banks to capture AI value and implement applications effectively [1]. Group 1: Current State of Generative AI in Banking - Generative AI applications are expanding from internal use to client-facing services, transforming operational models and customer service methods within banks [2]. - The emergence of multi-agent systems is providing comprehensive solutions that can cover complex processes, allowing generative AI agents to act as virtual colleagues [3]. Group 2: Impact on Profitability - Generative AI is expected to significantly enhance productivity across industries, with banking projected to see a potential productivity increase of $200 billion to $340 billion, translating to a 14%-24% potential profit increase, which could rise to 60%-80% over the next three years [4]. Group 3: Challenges in AI Adoption - Despite the apparent technological benefits, regional banks face significant barriers to large-scale AI application, including data silos and a shortage of hybrid talent, with an estimated talent gap of 5 million in China by 2030 [7]. - Regional banks must address three core questions: how to focus on high-value scenarios with limited resources, how to balance short-term wins with long-term strategies, and how to manage innovation and ecosystem collaboration [7]. Group 4: High-Value AI Application Scenarios - Six high-value AI application scenarios are emerging as key areas for regional banks to leverage AI capabilities, transitioning from experimental phases to growth drivers [8]. - These scenarios include credit risk management, customer relationship management, software development efficiency, intelligent customer service, hyper-personalized services, and knowledge management [10]. Group 5: Strategic Pathways for Regional Banks - Regional banks must choose between three strategic models: "builders" who deeply reconstruct core business, "innovators" who enhance middle and back-office processes, and "adopters" who focus on efficiency improvements [14]. - A comprehensive AI transformation framework is necessary, integrating AI with overall business strategy and ensuring that AI investments are directly linked to financial metrics [15][16]. Group 6: Collaboration and Ecosystem Development - Finding suitable ecosystem partners is crucial for regional banks to quickly develop strategies and implement use cases, allowing them to leverage existing solutions and accelerate their AI adoption [17]. - The future of banking will see AI not just as a tool for efficiency but as a core competitive advantage for enhancing customer service, optimizing risk management, and improving operational resilience [18].