Core Insights - AI technology is a core driver of the digital economy, reshaping production methods and management models while creating new paradigms for corporate culture dissemination [1][2][3] - The Suzhou North region is accelerating its transformation from a traditional industrial economy to an intelligent economy, emphasizing the need for unique and vibrant corporate culture [1] Group 1: AI-Driven Corporate Culture - Suzhou North enterprises utilize AI algorithms to tailor corporate culture content based on employees' roles, interests, and work experiences, enhancing internal training and cultural understanding [1] - AI technology is employed to develop intelligent training systems that provide personalized training courses and learning plans for employees, catering to both new hires and seasoned staff [1] Group 2: Social Media and AI Integration - Social media serves as a crucial channel for corporate culture dissemination, with Suzhou North enterprises leveraging AI for precise and efficient content distribution [2] - AI monitors social media trends and user interests, allowing companies to adjust cultural content in real-time and engage in relevant discussions [2] Group 3: Diverse Content Creation and Distribution - Suzhou North enterprises use AI video generation technology to create engaging corporate culture promotional videos, transforming significant events into animated formats for better visual representation [3] - AI audio synthesis technology is utilized to produce audiobooks and radio programs related to corporate culture, making it easier for employees to learn during their work hours [3] - The integration of AI in corporate culture is viewed as a means of cultural gene reorganization and evolution, emphasizing the principle of "technology serving people" [3]

Core Viewpoint - The transition from factor-driven to innovation-driven economic development is underway, with a shift from industrial economy to digital and intelligent economy, emphasizing the role of artificial intelligence in economic functions [1] Group 1: Data-Driven Economy - Data has become a new driving factor for economic development, fundamentally changing production methods and promoting a shift from a labor-based economy to a knowledge-based economy [2] - The transformation from material-based production to function-based production is facilitated by data, enhancing the demand for functionality over mere material needs [2] - Data is increasingly recognized as a foundational tool in the intelligent economy, leading to a shift from material production to information production and services [2] Group 2: Human-Machine Collaboration - Collaboration is a key organizational method in the intelligent economy, where real-time interaction between humans and intelligent terminals optimizes resource allocation [3] - The integration of artificial intelligence into production processes is creating new production dynamics, resulting in smarter production methods [3] - The intelligent economy allows for precise matching of supply and demand through real-time data collection and analysis, enhancing product development efficiency [3][4] Group 3: Cross-Industry Integration - Cross-industry integration is a significant trend in the development of the intelligent economy, driven by new technologies that break down traditional boundaries [5] - The emergence of a virtual world alongside the physical world enables unprecedented flexibility and scalability in data utilization across industries [6] - The focus on data interconnectivity and optimization is essential for enhancing the efficiency and innovation capabilities of various sectors [6] Group 4: Co-Creation and Sharing - Co-creation and sharing are vital for achieving the goals of the intelligent economy, emphasizing the importance of functionality over ownership [7] - Platform enterprises are creating ecosystems that integrate multiple stakeholders to meet new consumer demands and enhance supply capabilities [7] - The development of the intelligent economy is clear, despite the challenges ahead, as it aims to improve living standards through intelligent integration [7] Group 5: Accelerating Intelligent Economy Development - The advancement of the intelligent economy relies on breakthroughs in artificial intelligence and the support of innovative technologies, particularly in software and hardware development [8] - Leveraging collective intelligence and innovative business models is crucial for the sustainable growth of the intelligent economy [8]

Core Insights - Baidu Smart Cloud has partnered with over 65% of central enterprises to promote the deep application of large model technology across various fields [1] - The launch of the Qianfan Huijin financial model, which is trained on extensive financial data, includes two versions (8B and 70B) to meet different scenario needs [1] - Baidu Smart Cloud has developed a family of intelligent agents covering multiple sectors such as energy, transportation, healthcare, automotive, and environment [1][2] Group 1 - Baidu's collaboration with central enterprises aims to create replicable and scalable case studies in the application of AI technology [1] - The Qianfan Huijin model supports a maximum context input of 32K, covering nearly all application scenarios in the financial industry [1] - The intelligent agent family utilizes advanced algorithms and data processing capabilities to provide efficient and precise solutions across various industries [1] Group 2 - Baidu has successfully activated its self-developed Wan Ka and San Wan Ka clusters, supported by the Baijie GPU computing platform [2] - The Baijie platform is designed to be stable, fast, and efficient, ensuring compatibility with mainstream models and various domestic chips [2] - Baidu Smart Cloud's initiatives demonstrate its deep accumulation and innovative capabilities in the AI field, contributing significantly to the high-quality development of the smart economy [2]

Core Insights - The integration of artificial intelligence (AI) with various sectors such as healthcare, transportation, and research is accelerating, contributing to the development of a smart economy and advancing the construction of a digital China [1][5]. Group 1: AI in Healthcare - The Chinese Academy of Traditional Chinese Medicine has launched the "Guangyi·Qizhi" model, marking the first localized deployment of an integrated service model in a traditional Chinese medicine hospital, addressing issues like physician shortages and the long training cycle for renowned doctors [2]. - The model allows for the extraction and preservation of the experiences of renowned traditional Chinese medicine practitioners, creating a "digital twin" of famous doctors to assist community hospitals and clinics in improving diagnostic accuracy [2]. Group 2: AI in Transportation - An AI-powered monitoring system on the Jingxiong Expressway can identify and respond to incidents such as emergency lane violations within 30 seconds, enhancing road safety [3]. - The system has processed over 220 incidents since its implementation, demonstrating its effectiveness in real-time event detection and emergency response [3]. Group 3: AI in Materials Research - The China Steel Research Group has developed the first metallurgical process perception model supported by Baidu Intelligent Cloud, achieving a 95% accuracy rate in detecting microstructures of steel, significantly reducing the time and cost of metallographic analysis [4]. - This model is being promoted across various steel mills and is expected to expand to other material types, aiding in quality assessment and production optimization [4]. Group 4: AI Industry Growth - As of the end of 2024, the number of AI companies in China is expected to exceed 4,700, with the core industry scale approaching 600 billion yuan, nearly doubling in four years [4]. - The AI industry encompasses critical segments including chips, algorithms, data, platforms, and applications, indicating a robust and expanding industrial chain [4]. Group 5: Future Directions - Companies like Baidu are focusing on leveraging opportunities in the smart economy by developing AI chips, algorithms, and models, aiming to create open intelligent infrastructure for the AI era [5].

Core Insights - The 9th Shenzhen (Bay Area) International Brand Week has released the "2025 China Brand Value Top 500" list, showcasing nearly 400 "internationally reputable brands" and "Shenzhen (Bay Area) well-known brands," prompting deep reflection on new trends in brand development [1][3] Group 1: Brand Development Trends - The theme of this year's Brand Week is "Brands Lead the Future, Innovation Drives the Bay Area," gathering international brand experts and business leaders to explore new paths for brand development and enhance the international influence of "Shenzhen brands" [3] - Brand Finance, in collaboration with the Shenzhen Industrial Association, revealed that 109 brands from the Guangdong-Hong Kong-Macao Greater Bay Area made it to the list, with 34 brands from Shenzhen, including Tencent, China Ping An, WeChat, and Huawei, ranking 9th, 10th, 13th, and 14th respectively, highlighting Shenzhen's strong competitiveness in the national market [3][4] Group 2: Strategic Insights - Chen Yideng, co-founder and president of Brand Finance China, emphasized that China has surpassed the UK to rank second in global soft power, indicating a shift in the international competitive landscape driven by the "brand assets + soft power + smart economy" golden triangle [4] - Despite the U.S. holding 50% of the global brand value, the smart economy is poised to become a key "narrator" of brand soft power, necessitating China to leverage the ISO brand valuation standards to upgrade its brand from "value consensus" to a "rules operating system" [4] - Over the next decade, China aims to transform intangible brand power into a solid support in the era of globalization, driven by innovation [4] Group 3: Expert Opinions and Recommendations - The Brand Week serves not only as a platform for the release of the list but also as a venue for exploring new paths in brand development, with experts emphasizing the need for Shenzhen to deepen the integration of brands with technology and strengthen the application of international standards [5] - Experts from the China Brand Construction Promotion Association and the China Industrial Economic Federation highlighted that brand development is crucial for overcoming the "big but not strong" dilemma in industries, advocating for leveraging community organization advantages to elevate "Chinese manufacturing" brands globally [5] - At the 2025 Guangdong-Hong Kong-Macao Greater Bay Area Quality Brand Summit, speakers discussed strategies for Chinese enterprises to seize opportunities in the context of global supply chain restructuring and the need for brands to shift from rational value communication to value-oriented communication [5] Group 4: Brand Development Initiatives - To showcase brand development achievements, the "Shenzhen Economic Special Zone 45th Anniversary Brand Development White Paper" was launched, highlighting successful brand experiences [6] - The Brand Week features nearly thirty events, including thematic activities and a large-scale brand expo, promoting comprehensive and multidimensional brand communication through online and offline interactions [6]

南都讯 记者黄璐 5月9日，第九届"深圳（湾区）国际品牌周"暨2025年中国品牌日·深圳地方特色活动开 幕大会在深圳广电大厦举行。本届品牌周以"品牌引领未来，创新驱动湾区"为主题，"2025中国品牌价 值500强"中英文榜单独家发布，"国际信誉品牌""深圳（湾区）知名品牌"近400项品牌成果集中亮相展 示，国际品牌专家、知名企业领袖发表主题演讲，探索科技革命和产业变革时代品牌发展新路径。 深圳工业总会会长吴光权表示，本届品牌周旨在将深圳品牌建设的成功经验辐射至大湾区，推动湾区企 业共创国际化品牌。未来，将联合政产学研多方力量，为打造"更具时代引领性的深圳品牌"贡献智慧与 力量。 榜单独家发布，彰显品牌发展硬实力 每年在达沃斯世界经济论坛年会上发布全球品牌价值500强的国际著名品牌价值评估咨询机构Brand Finance，联合深圳工业总会在第九届"深圳（湾区）国际品牌周"上独家发布"2025中国品牌价值500 强"中英文榜单。 同时，Brand Finance中国公司联合创始人、总裁陈忆登对榜单进行解读。今年，粤港澳大湾区109个品 牌上榜"2025中国品牌价值500强"。深圳共有34个品牌上榜，其中，荣获" ...