Workflow
飞书发布并升级多款AI产品 谢欣：选择飞书，就是选择企业长期值得信赖的AI伙伴
Huan Qiu Wang Zi Xun·2025-07-15 07:10

Core Viewpoint - The article emphasizes the importance of practical AI applications for enterprises and highlights Feishu's commitment to providing effective AI products that support businesses in their digital transformation efforts [1][3]. Group 1: Feishu's AI Product Offerings - Feishu has recently upgraded several AI products, including Knowledge Q&A, AI Meetings, Aily, and Multi-dimensional Tables, ensuring they are practical and effective for enterprise use [3]. - The new version of Feishu's Multi-dimensional Table supports up to 10 million hot rows and has achieved millisecond-level calculation speed, enhancing data analysis and visualization capabilities [3]. - The upgraded Knowledge Q&A system establishes a technical barrier by not relying on enterprise knowledge bases, allowing it to quickly process vast amounts of corporate knowledge [3]. Group 2: Market Penetration and Adoption - Feishu has established significant leadership in enterprise AI services, with 60% of the top 30 new energy vehicle brands and 5 out of 6 listed tea brands in China using its platform [4]. - The platform is also widely adopted in the beauty industry, with 7 out of the top 10 listed domestic beauty brands utilizing Feishu [4]. - Feishu's practical applications have made it a preferred choice among various enterprises, reflecting its usability and effectiveness in enhancing management and collaboration [5]. Group 3: Industry Impact and Future Outlook - The CEO of XPeng Motors noted that AI should first be applied in management and collaboration within enterprises, leading to a significant reduction in offline meetings by 30% and a shift towards cloud document collaboration [5]. - Feishu has become the AI platform of choice for many AI companies, including DeepSeek and domestic AI models, indicating its central role in the AI industry [5]. - The CEO of Feishu suggested that the criteria for selecting software in the AI era should focus on effectiveness rather than just functionality, urging companies to set reasonable expectations for their AI products [5].