


Why has Feishu become the common choice among domestic large model unicorns?
中国 Question diagram | Visual China has been the most watched track in the field of Chinese technology in the field of science and technology in China in the past year. Especially after entering 2024, the popularity of the entire industry can only be described as "
hot
": In terms of financing, the craze from 2023 to the present has gradually reached its peak, and the valuations of many top
FlagEval Large Model Evaluation Capability List (Objective Evaluation)
If the production and research of large models is already very difficult, then the commercialization challenges that large model startups need to face today can be described as "even more difficult." How to continuously improve capabilities at the product R&D level, how to plan new functions that individual users really need, how to work with enterprises to explore the application potential of large models, and how to adjust one's own development strategy based on real feedback from the market; this series of new questions The emergence of the Internet has made the overall challenges faced by large-model startups more and more "complex".
Take Zhipu as an example. In early 2024, it officially announced that it had 1,000+ large-scale model applications and had carried out in-depth "co-creation" with 200+ companies. This "co-creation" process is actually a process in which Zhipu and customers jointly "excavate" the needs and application prospects of large models in various industries. This has resulted in a large number of front-line relationships between Zhipu and customers, sales and development. Communication and collaboration needs with management.
Obviously, at this critical time when large model technology is gradually maturing and more and more attention is paid to application implementation, large model startups are pursuing full-chain innovation from theory, method, technology, product to market, plus the industry itself The uncertainty brought about by rapid development and the huge challenge of pushing a new technology to all walks of life have created a strong sense of urgency lingering in the hearts of large model startups.
Why is Feishu the unanimous choice?
Why Feishu? The author speculates from the characteristics of large model companies, which can be summarized into three points:
- Rapid iteration of tools drives the iteration of the organization: In the process of rapid expansion, large model companies are in urgent need of mature methodologies and tools to improve efficiency and even iterate internal operations. mechanism. It just so happens that Feishu has accumulated the methodologies of thousands of advanced enterprises in the past few years of service, and has brought positive changes to the organization through rapid tool iteration.
- contextnotcontrol: In order to match the rapidly changing business, building an agile organization is the goal of emerging companies such as large models. Allinone's model adds to the rapid flow of information and achieves efficient organizational synergy. So-called contextnotcontrol, today’s large model companies are goal-driven and more like distributed organizations, stimulating everyone’s potential.
- High product flexibility and high openness: Feishu’s multi-dimensional tables, open platform capabilities, etc., have strong room for openness and creativity. This feature exactly matches the characteristics of large model companies. This type of company has a high concentration of production and research, is good at using tools, and has built many applications in-house through Feishu's open capabilities. It is said that Dark Side of the Moon has used the Feishu integration platform to build dozens of enterprise-owned applications, integrating them with other functions on Feishu to jointly improve efficiency.
As an example of information flow, ordinary IM and collaboration tools can realize the flow of information within their respective product scopes, while Feishu's system can realize multiple different functional products, specific projects and approvals, processes and knowledge accumulation. Open up the space. This ability to accelerate information transmission is more effective in complex scenes. For example, traditional CRM software is good at analyzing customers' historical transaction data, but does not have powerful communication and office functions. They may become information islands during the long-term use of enterprises, resulting in inconvenient use and low process efficiency. Feishu has enhanced the import and interaction capabilities of sales data, making data management more efficient. With more macro and clear data presentation and insight capabilities, it helps sales staff make timely decisions and effective follow-up, improving efficiency and performance.
WaytoAGI Figure Since its establishment in April 2023, "WaytoAGI (Road to General Artificial Intelligence)" has built an extremely large knowledge base system, covering various technology introductions, AI industry news analysis, and AI application practical operations. It has received more than 1.5 million views, triggered tens of thousands of exchanges between users, and allowed at least hundreds of thousands of Feishu users to have a deeper understanding of AI and make their own attempts to apply AI. The fact that a group of people with lofty ideals on the Internet can achieve such results not only proves the excellence of Feishu's entire collaboration system, but also proves that "people who understand large models are likely to be using Feishu." In a company that already has a huge number of "fans" Under the premise, Feishu has not stopped its own evolution. While serving customers of large-scale startups, Feishu has also begun to accelerate the introduction of AI capabilities into its products. As early as the end of last year, Feishu had embedded "Feishu Intelligent Partner" in its entire set of products, which can work with users in business scenarios such as content creation, content summary, data analysis, scenario construction and system construction. Enterprises can even choose suitable underlying large models based on business needs, such as Baichuan Intelligence, MiniMax, and Zhipu AI.
Take the daily work summary, the most common
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