Knowledge Management and Related Practices in the Field of Technical Communication
14:20 - 15:00
In the era of AI, the problems faced by technical communication, such as data silos, difficulties in knowledge inheritance and reuse, have become more and more prominent. These challenges pose higher requirements for the management and delivery of content. With the rapid development of AI technology, knowledge management, as a core capability of content development and delivery, has become increasingly important and serves as a key support for improving efficiency and the level of intelligence.
This presentation, based on knowledge engineering, comprehensively enhances the strategic value of knowledge management in the AI era. The speaker will share the content development practices based on knowledge engineering with real cases, including the following aspects:
1. Based on knowledge system modeling experience in daily research and development process, as well as the standardized path of knowledge engineering construction.
2. The full-link practice of building a knowledge engineering pipeline from scratch and optimizing the document delivery process, demonstrating how knowledge engineering is deeply integrated with AI to provide systematic support for content standardization, management efficiency, and intelligent generation.
3. Revealing the key role of knowledge management in the promotion of intelligent content delivery, model training, and the application of Agents/AI, and empowering the industry to explore new perspectives and practical paths.
Through these sharing sessions, this presentation will provide highly practical solutions for the fields of technical communication and knowledge management.
