Qianwen Office 2.0 makes up for the most critical "shortcomings" of office agents.
"In the past few months, everyone has been working hard to prove that AI can do more and more work. But to be honest, just because one person can do the work, it does not mean that a group of people can collaborate." An industry insider who has been paying attention to AI office for a long time found that after trying out the mainstream AI office products on the market, there are still some "trouble" that cannot be avoided. The most typical one is that some tasks have to be done manually. "Agent can complete tasks independently, but it is difficult to handle the flow of tasks between people." Sometimes, after AI delivers the results, handing over between people takes more time and effort than the Agent doing the step itself. If AI office wants to fight To B, it must face up to this dilemma. When it comes to AI, companies really care about two things: one is personal productivity, whether AI can do more work for employees; the other is organizational productivity, whether AI can reduce information loss and duplication of work in team collaboration. In the past few months, AI office has overcome many obstacles in personal productivity, but there is still a long way to go in terms of organizational productivity. On November 9, Qianwen Office released version 2.0, launching the industry's first "collaboration" function that supports multi-person collaboration with Agents, and announced on its official blog that it is moving into the Team Agent era. It wants to respond to the above-mentioned problems: How can the enterprise's organizational productivity keep up with the improvement of individual productivity? 01 How to join the team collaboration in "Qianwen Xiao Q"? The domestic AI office craze has lasted for nearly half a year. Product competition in the C-end market is becoming increasingly fierce, while the challenges in the B-end market go far beyond simply selling products to companies. From a product perspective, with the emergence of overseas Personal Agent products such as Muse, Cue, and Dots, the capabilities of personal AI are rapidly being broadened, and enterprise-level AI is also being pushed to higher expectations. AI office factory
Qianwen Office 2.0 makes up for the most critical "shortcomings" of office agents.
"In the past few months, everyone has been working hard to prove that AI can do more and more work. But to be honest, just because one person can do the work, it does not mean that a group of people can collaborate." An industry insider who has been paying attention to AI office for a long time found that after trying out the mainstream AI office products on the market, there are still some "trouble" that cannot be avoided. The most typical one is that some tasks have to be done manually. "Agent can complete tasks independently, but it is difficult to handle the flow of tasks between people." Sometimes, after AI delivers the results, handing over between people takes more time and effort than the Agent doing the step itself. If AI office wants to fight To B, it must face up to this dilemma. When it comes to AI, companies really care about two things: one is personal productivity, whether AI can do more work for employees; the other is organizational productivity, whether AI can reduce information loss and duplication of work in team collaboration. In the past few months, AI office has overcome many obstacles in personal productivity, but there is still a long way to go in terms of organizational productivity. On November 9, Qianwen Office released version 2.0, launching the industry's first "collaboration" function that supports multi-person collaboration with Agents, and announced on its official blog that it is moving into the Team Agent era. It wants to respond to the above-mentioned problems: How can the enterprise's organizational productivity keep up with the improvement of individual productivity? 01 How to join the team collaboration in "Qianwen Xiao Q"? The domestic AI office craze has lasted for nearly half a year. Product competition in the C-end market is becoming increasingly fierce, while the challenges in the B-end market go far beyond simply selling products to companies. From a product perspective, with the emergence of overseas Personal Agent products such as Muse, Cue, and Dots, the capabilities of personal AI are rapidly being broadened, and enterprise-level AI is also being pushed to higher expectations. AI office factory
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