Core Viewpoint - The article discusses the launch of Gaode's new feature, "Gaode Street Ranking," which aims to provide a more authentic ranking system for offline services based on real user behavior rather than manipulated ratings [1][3][4]. Summary by Sections Introduction of Gaode Street Ranking - Gaode has introduced a new credit system called "Gaode Street Ranking," which promises to bring 10.8 million consumers to offline service businesses daily [2]. - The ranking system is designed to combat the existing issues of fake reviews and manipulated ratings in the restaurant and service industry [3][4]. Unique Features of the Ranking System - The ranking is based on real user behaviors, such as navigation and visits, rather than artificial manipulation [3][4]. - Gaode's data includes 514.3 million users and 1.3 billion navigation instances over a year, covering a distance equivalent to 57 times around the Earth [12][68]. Data and AI Integration - The success of the Gaode Street Ranking is attributed to the integration of AI with Gaode's extensive historical data, which has been accumulated over 20 years [6][67]. - AI helps in processing user behavior data to ensure the authenticity of the rankings, making it difficult for users to manipulate the system [48][65]. Ranking Dynamics - The ranking system includes various categories such as "Top Performers," "Street Rankings," and "Popular Check-ins," which are updated daily to reflect real-time user preferences [14][15]. - The "Top Performers" list is updated annually, while the "Street Rankings" are refreshed daily, allowing for more dynamic and responsive rankings [15]. User Engagement and Experience - Users can only leave reviews after visiting a location, which helps maintain the integrity of the ratings [47][65]. - The system encourages genuine user engagement, allowing for a more accurate representation of popular venues [39][70]. Conclusion and Implications - The Gaode Street Ranking represents a significant shift in how offline services are evaluated, emphasizing authenticity and user experience [72]. - This initiative could set a precedent for other industries facing similar challenges with fake reviews and ratings [73].

上一次公开露面是在今年8月27日。 9月12日，中共贵州省纪律检查委员会贵州省监察委员会网站发布消息，云上贵州大数据（集团）有限 公司党委书记、董事长徐昊涉嫌严重违纪违法，目前正接受贵州省纪委监委纪律审查和监察调查。 公开资料显示，徐昊出生于1968年9月，浙江宁波人，1987年11月加入中国共产党，1990年7月参加工 作，大学学历，经济学学士。2023年12月，徐昊被推荐为云上贵州大数据（集团）有限公司董事、董事 长人选。随后，徐昊出任云上贵州大数据（集团）有限公司党委书记、董事长。 徐昊上一次公开露面是在今年8月底的2025中国国际大数据产业博览，360数字安全科技集团有限公司与 贵州大数据集团举行战略合作签约仪式。周鸿祎与贵州大数据集团党委书记、董事长徐昊出席仪式并致 辞。 云上贵州大数据（集团）有限公司于2018年2月正式挂牌成立，注册资本17亿元，是由贵州省政府批复 成立的省属国有大一型企业，致力于服务全省大数据战略行动和国家大数据（贵州）综合试验区建设。 2017年7月12日，贵州省政府与苹果公司共同签订《贵州省人民政府·苹果公司iCloud战略合作框架协 议》，协议明确，云上贵州大数据产业发展 ...

Group 1 - Xu Hao has been recommended as the chairman and director of Cloud Guizhou Big Data (Group) Co., Ltd. in December 2023 [2] - Cloud Guizhou Big Data was established in February 2018 with a registered capital of 1.7 billion yuan, focusing on supporting the province's big data strategy and the national big data comprehensive experimental zone [4] - The company has built the first provincial government data aggregation, sharing, and open platform in China, known as the Cloud Guizhou system platform, and is the sole partner for Apple's iCloud services in mainland China [4] Group 2 - A strategic cooperation signing ceremony was held between Guizhou Big Data Group and 360 Digital Security Technology Group during the 2025 China International Big Data Industry Expo [5] - Key figures at the signing ceremony included Zhou Hongyi, founder and CEO of 360 Group, and Xu Hao, secretary of the party committee and chairman of Guizhou Big Data Group [5]

Group 1 - The core viewpoint of the articles highlights that the banking industry is intensifying its recruitment efforts in response to the ongoing digital transformation, focusing on both technology and business roles to build a composite talent ecosystem [1][4][5] - In 2026, banks are emphasizing a full-chain penetration of technology roles, moving beyond traditional system development to include application development, information security, data mining, and artificial intelligence as core areas [2][3] - The recruitment strategies of various banks, such as Industrial and Commercial Bank of China and Postal Savings Bank, reflect a strong alignment with their strategic needs, integrating advanced technologies into their core business processes [2][3] Group 2 - Banks are diversifying their business role layouts, with a focus on strategic business sectors like pension finance, indicating a growing emphasis on specialized talent in these areas [4][5] - The trend towards building a composite talent ecosystem is evident, as banks aim to enhance collaboration between technology and business roles, thereby improving operational efficiency and market competitiveness [4][5] - The demand for cross-disciplinary talent, particularly in hard technology roles and areas intersecting finance and technology, is expected to rise, driven by talent shortages and the strategic need for banks to construct financial ecosystems [5]

Core Insights - The 2025 China International Service Trade Fair (CIFTIS) took place from September 10 to 14 in Beijing, showcasing the "Beijing Solution Exhibition" as a key highlight, promoting replicable and standardized digital service solutions for urban governance and enhancing people's quality of life [1][3] Group 1: Digital Service Framework - The "1+1+N" integrated digital service system proposed in the "Beijing Solution" aims to provide a clear blueprint for urban digital transformation across governance, urban management, and public services [3] - The digital foundation includes a robust architecture that enhances the efficiency of computing power supply, supporting emerging industries like artificial intelligence and the metaverse [3][5] Group 2: Smart Governance Initiatives - The "Three Jing" platforms (Jingban, Jingtong, Jingzhi) were introduced to streamline services through a unified service portal, facilitating the implementation of multiple application solutions [5] - The "Jingban" platform serves as a secure and efficient government collaboration tool, while "Jingtong" offers 36 convenient services, enhancing public service accessibility [5][6] Group 3: Urban Management Technologies - The integration of various data sources through platforms like the vehicle-road-cloud system enables closed-loop supervision of autonomous vehicles, enhancing urban operational safety [5][6] - The Beijing Economic Development Zone has implemented a "green wave" traffic system across 67 roads, improving traffic management and efficiency [6] Group 4: Future Directions - Beijing aims to deepen digital technology innovation and cultivate high-quality digital service solutions, contributing to the high-quality development of the global digital economy [6]

Core Viewpoint - GreetEat Corporation is expanding its technology portfolio with the launch of WallStreetStats.io, a fintech platform aimed at providing retail investors with advanced trading data and analytics tools [1][5]. Group 1: Company Overview - GreetEat Corporation (OTC: GEAT) focuses on innovative platforms that integrate AI, fintech, and data-driven solutions, including WallStreetStats.io and GreetEat.com [6][7]. - WallStreetStats.io is designed to empower investors by addressing the challenge of information overload in trading [2][4]. Group 2: Platform Features - The platform utilizes big data, AI, and machine learning to process various financial signals, including stock price movements, options flow, and social sentiment from platforms like X (formerly Twitter) and Reddit [3][4]. - WallStreetStats.io offers a comprehensive dashboard that helps investors monitor market sentiment, identify trading opportunities, and refine strategies [3][4]. Group 3: Strategic Goals - The mission of WallStreetStats.io is to provide retail investors with data and tools comparable to those used by institutional investors, aiming to simplify complex market signals into actionable insights [4][5]. - GreetEat Corporation's strategic push into fintech innovation is intended to create long-term value for both investors and end users by focusing on AI, data science, and trading intelligence [5].

Group 1 - The WHO report indicates that at least 2.2 billion people globally suffer from vision impairment, with at least 1 billion cases being preventable or unaddressed [1] - There are significant challenges in eye care worldwide, despite advancements in technology [1] - Technological innovations such as artificial intelligence, big data, and telemedicine are improving healthcare resource allocation and enhancing diagnostic and treatment efficiency and accessibility [1] Group 2 - The Zhongshan Ophthalmic Center of Sun Yat-sen University in Guangdong exemplifies innovative solutions in the field of ophthalmology, showcasing "Chinese wisdom" [2]

Group 1 - Sichuan Shengtong Yunzhi Technology Co., Ltd. has been established with a registered capital of 29 million RMB [1] - The legal representative of the company is Wang Guobin [1] - The business scope includes artificial intelligence basic software development, cloud computing equipment technology services, and big data services [1] Group 2 - The company is jointly held by Shengtong Technology and other stakeholders [1]

RT Santiment (@santimentfeed)🧑‍💻 Here are crypto's top 10 AI & Big Data projects by development. Directional indicators represent each project's ranking positioning since last update:➡️ 1) @dfinity $ICP 🥇📈 2) @nearprotocol $NEAR 🥈📉 3) @filecoin $FIL 🥉➡️ 4) @oasisprotocol $ROSE📈 5) @injective $INJ📈 6) @livepeer $LPT📉 7) @iex_ec $RLC📈 8) @bittensor_ $TAO📉 9) @graphprotocol $GRT📈 10) @swarms_corp $SWARMS📖 Read about the @santimentfeed methodology for filtering notable github activity data from project reposito ...

RT Santiment (@santimentfeed)🧑‍💻 Here are crypto's top 10 AI & Big Data projects by development. Directional indicators represent each project's ranking positioning since last update:➡️ 1) @dfinity $ICP 🥇📈 2) @nearprotocol $NEAR 🥈📉 3) @filecoin $FIL 🥉➡️ 4) @oasisprotocol $ROSE📈 5) @injective $INJ📈 6) @livepeer $LPT📉 7) @iex_ec $RLC📈 8) @bittensor_ $TAO📉 9) @graphprotocol $GRT📈 10) @swarms_corp $SWARMS📖 Read about the @santimentfeed methodology for filtering notable github activity data from project reposito ...