Kuaishou Sets Up "Enterprise AI Productivity" Unit to Coordinate AI Infrastructure and Collaboration

Deep News
Yesterday

Kuaishou announced the establishment of a cross-business-unit virtual organization called "Enterprise AI Productivity" at the company level, responsible for the stable operation of the foundational office system base, and coordinating the unified development of general-purpose Agents, enterprise context systems, and enterprise information systems.

According to the introduction, compared to other internet companies' approach of integrating office suites and general-purpose Agents, Kuaishou (SEHK: 1024) has further included internal information systems within the scope of this unified development.

Kuaishou (SEHK: 1024) stated in the announcement that AI is reshaping the way enterprises work and their production efficiency, and this adjustment aims to solidify the AI capability foundation at the organizational level, further promote organizational AI transformation, and enhance research and development efficiency.

Currently, AI has deeply penetrated Kuaishou's (SEHK: 1024) core businesses and organizational operations. As of June, more than 92% of Kuaishou (SEHK: 1024) employees have used various self-developed AI Agent products, and the AI code contribution rate among research and development technical staff has reached 60%.

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

Most Discussed

  1. 1
     
     
     
     
  2. 2
     
     
     
     
  3. 3
     
     
     
     
  4. 4
     
     
     
     
  5. 5
     
     
     
     
  6. 6
     
     
     
     
  7. 7
     
     
     
     
  8. 8
     
     
     
     
  9. 9
     
     
     
     
  10. 10