tcworld China 2025 Program

A preliminary version of tcworld China 2025 program

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  • May 22


  • As the number of exported products increases and international competition intensifies, developing competitive documentation strategies tailored to product families and fostering ongoing international market expansion has become essential. Technical writers should focus not only on individual product and documentation strategies but also on analyzing the characteristics of entire product families and various types of documentation. By leveraging system tools and large language models, technical writers can create comprehensive documentation that aligns more effectively with product requirements, ensuring smooth entry into overseas markets.
    Content Development, Management and Delivery

  • Based on multimodal deep learning technology, Hikvision’s self-developed LanZhi large model provides intelligent Q&A services and customized knowledge base services for all internal users. It also offers a variety of customized applications, including intelligent programming, insights, testing, project management, knowledge Q&A, and documentation. In documentation writing, Hikvision faces challenges such as high content redundancy, heavy workloads, and high costs. By leveraging the powerful language capabilities of the LanZhi model, the team has explored all aspects of the entire process of assisting with document writing and application, as demonstrated by:

    1）Providing outlines and text polishing in the initial stage of documentation writing;
    2）Quickly and intelligently extracting key parameters for repetitive and complex documents;
    3）Inspecting content with AI to rapidly verify document compliance with standards and check for typos, formatting, and terminology;
    4）Translating and converting documents into multiple languages;
    5）Implementing intelligent Q&A based on internal terminology and a knowledge base formed from technical documents in terms of documentation application.

    To reduce the unpredictability of AI-generated content, Hikvision has implemented fine-tuning training and built small models for proprietary domains to enhance the reliability of generated content. This documentation application can be extended to all Hikvision subsidiaries and significantly improve the writing efficiency and quality of operational manuals, user guides, troubleshooting manuals, and more.

    AI and New Technologies in Technical Communication

  • The Huawei network product information experience team is required to deliver tens of thousands of product documents to partners each year. How can the application of large language models help users efficiently and promptly retrieve accurate content from vast amounts of information, thereby assisting them in independently completing project delivery? We have carried out related practices by building a unified intelligent knowledge base and developing AI applications such as intelligent Q&A and virtual assistants. This approach effectively addresses key experience issues such as low information retrieval efficiency and inaccurate content generation, significantly improving partner satisfaction with the information experience.
    AI and New Technologies in Technical Communication

  • Traditional static documentation has limitations in effectively presenting products and providing intuitive, real-time operational feedback in complex scenarios, which often results in low user learning efficiency and high error rates. This presentation explores how AR/VR technologies can revolutionize interactive documentation to address challenges in product demonstration, hardware operation, maintenance, and training faced by traditional documentation.

    The key topics covered include:
    Analysis of pain points in traditional static documentation under complex operational scenarios.
    Cutting-edge applications of AI in interactive documentation, such as virtual training and AR-based maintenance manuals.
    The process of designing and implementing interactive documentation, including technical recommendations and insights for developers.

    This presentation aims to demonstrate the value of AR/VR technologies in enhancing documentation interactivity through real-world case studies and practical experiences.

    User Experience (UX), User Interface (UI) Design, and Interactive Documentation

  • With the advent of generative text AI systems many potentials to improve efficiency in technical documentation could be leveraged. The writing process is often supported with Large Language Models, with proofreading of the generated materials by humans. Using a Large Language Model with a human-in-the-loop for proofreading and checking against the required standards and often (unwritten) rules, the efficiency of the creation process may be further improved.

    Good prompt engineering is key for generating novel texts and making these fit into a company's language. When working with LLMs for proofreading, the quality of a good prompt and the provided additional material is getting even more critical to achieve the results that are expected. During the presentation, Thomas will provide an outline of what makes good input-data good and how to use the available data to make a Large Language Model an efficient proofreader that provides valuable insights. Using a human-in-the-loop approach, the LLM provides both an increased efficiency and also the required quality.

    AI and New Technologies in Technical Communication

  • As technology continues to evolve, Artificial Intelligence (AI) emerges as a powerful assistant for tech writers, streamlining their daily tasks and boosting productivity. AI can automate repetitive tasks, such as grammar and style checks, content organization, and even preliminary drafts. It can also analyze large volumes of data to generate insights, suggest relevant topics, and create tailored content based on user preferences and trends, thus enabling tech writers to focus on more creative and complex aspects of their work.

    However, the role of AI is not without limitations. While AI can enhance efficiency and accuracy, it lacks the nuanced understanding of context, tone, and emotional intelligence that human writers possess. AI-generated content can sometimes be formulaic and may miss the subtlety and depth required for engaging technical documentation.

    To better serve customers and meet evolving needs, future tech writers must develop skills in AI literacy, data analysis, and user experience design. Understanding how to leverage AI tools effectively and interpreting data-driven insights will be crucial. Moreover, tech writers should hone their ability to empathize with users, ensuring that the content they create is not only technically accurate but also user-centric and accessible.

    AI and New Technologies in Technical Communication

  • This interactive workshop offers a hands-on introduction to Simplified Technical English (ASD-STE100), allowing you to quickly get started and effectively use it.

    Participants will engage in writing simulations, group discussions, and case analyses to learn the core rules of ASD-STE100, along with key challenges, common pitfalls, and often-overlooked aspects of technical writing.

    Whether you’re a novice or an experienced professional, this boot camp will help broaden your career opportunities.

    International Standards in Technical Communication

  • In the information age with an explosion of AI applications, enterprises and individuals not only are facing the challenge of information screening, but also increasingly need to consider how to provide more efficient knowledge for users, hence a necessity for knowledge management. As a product of the in-depth integration of AI technology and knowledge management, AI knowledge bases have become the key to solving the current problems in the field of AI content.
    AI and New Technologies in Technical Communication

  • Digitalization is transforming industrial processes, offering new ways to eliminate paper-based documentation. In this session, I will present a live demo showcasing how the ID Link and Digital Online Nameplate enable seamless digital identification, reducing the need for traditional paper inserts.

    I will explore different approaches to eliminating paper-based labels and discuss the transition from digital nameplates to more advanced concepts such as the Digital Product Passport and the Asset Administration Shell in the context of Industry 4.0.

    Join me to discover how these innovations contribute to a more sustainable, efficient, and future-proof industrial landscape.

    AI and New Technologies in Technical Communication

  • 1. Scenario-Based Requirements Analysis Practice Based on the Product Lifecycle

    Requirement Phase: user research, competitor insights, scenario-based task sequencing, on-site task validation and optimization, and sorting out of scenario-based requirements

    2. Design Exploration of Design-Assets-Oriented Positive Design to Improve Original Content Quality

    Development Phase: accumulation and empowerment of design assets (information design guidelines, positive and negative case studies), template-guided design development (architecture templates, content templates), and quality control of the design process (material input review, document output review).

    3. Text Quality Metrics System Construction and Content Measurement Practice

    Requirement Validation Phase: text quality metrics system building, content quality measurement methods, and summative testing activities of ducumentation — guiding requirement validation and closing the loop.

    Content Development, Management and Delivery

  • Cadence is a pivotal leader in electronic systems design, providing EDA (Electronic Design Automation) design software, hardware, and IP for the semiconductor industry. This topic focuses on the practical characteristics of the semiconductor industry's documentation and introduces why and how Cadence converts the unstructured FrameMaker document to DITA XML. It covers the main questions to consider before and during the conversion, the new process and tools, the main challenges, and the best practices.

    The speaker will share insights and experiences gained from the practices, hoping to inspire participants with similar requirements.

    Content Development, Management and Delivery

  • Join us as we explore key developments in European regulations and international standardization. How do new directives impact companies in China and the field of Technical Communication? What do Technical Writers need to know about the European Machinery Regulation (2023/1230), AI Act (2024/1689), international multipart standard 82079 for information for use, iiRDS, and VDI 2770 on digital manufacturer information? Don’t miss this discussion to gain valuable insights!
    AI and New Technologies in Technical Communication
    International Standards in Technical Communication

  • With the rapid advancement of AI, Large Language Models (LLMs) are playing an increasingly important role in the localization industry. With strong language understanding and generation capabilities, LLMs show great potential in translation, content creation, and terminology management, driving the industry toward the intelligent stage.

    LLMs enhance localization efficiency and quality in multiple ways. In machine translation and post-editing (MTPE), they significantly improve accuracy and fluency, reducing turnaround time. In terminology extraction and management, LLMs can automatically identify and standardize multilingual terms to ensure consistency. Additionally, they excel in localizing multimedia and marketing content, generating culturally adapted materials that support global business development.

    Despite their advantages, LLMs also pose challenges such as data security, translation quality, and cultural adaptation. To address the issues, localization companies should enhance data privacy measures by considering private models or on-premise deployment to ensure data security. Meanwhile, the companies should also combine LLM outputs with human review to improve cultural relevance. Small and medium-sized businesses can leverage cloud-based LLM APIs to access advanced capabilities at a lower cost.

    Looking ahead, LLMs will become more tailored and deeply integrated into localization workflows, enabling more efficient human-AI collaboration and enhancing globalization.

    Globalization, Internationalization, Localization, and Translation

  • May 23


  • From the ground up, we have developed the first systematic information experience measurement model in the ICT sector. Based on the Information System Success Model and driven by the vision of "easy access, easy use, easy feedback", the model involves key elements of the user journey. It enables full digitalization for "identifying valuable clues, discovering root causes, and figuring out improvement trends", allowing real-time measurement of information experience competitiveness and enabling products to self-analyze and self-improve. By combining subjective and objective evaluations with user behavior analysis, we establish a measurement baseline, with the results supporting business value demonstration and driving continuous improvements in information experience.
    Content Strategy, Content Marketing, and Data Analysis

  • This workshop provides an introduction to writing safety instructions using Simplified Technical English (STE), as outlined in the ASD-STE100 standard. Participants will learn key rules for creating clear, concise, and unambiguous safety instructions. The session covers vocabulary and sentence structure, emphasizing precision and readability. Practical exercises include rewriting existing safety instructions and drafting new ones based on specific scenarios, ensuring that participants gain hands-on experience. By the end of the workshop, they will be equipped to produce effective safety instructions that enhance clarity and comply with STE standards.
    International Standards in Technical Communication

  • What are the key strategies and best practices for managing and writing technical documentation in complex equipment manufacturing?

    How does maintenance engineering analysis relate to the technical documentation system? How can we build an effective maintenance engineering analysis ecosystem?

    How are configuration or technical status changes (e.g., BOM updates) linked to technical documentation? How do applicability and validity in documentation reflect these changes?

    Content Development, Management and Delivery

  • AI Creative Assistant is an AI solution designed to activate knowledge assets and accelerate the full implementation of AI applications. It encompasses three core features: structured format conversion, multilingual intelligent translation, and document quality inspection. Additionally, it is available in various forms such as a chatbot, micro-document plugins, and Oxygen plugins, catering to diverse usage scenarios.

    Structured Format Conversion: uConverter

    uConverter is available in both the chatbot and cloud document plugins. It enables users to convert unstructured content into DITA-structured content effortlessly by selecting the unstructured material and specifying the topic type. With a simple click, the content is converted. Another click allows for the converted content to be swiftly sent to the structured content platform. This feature notably decreases the amount of time technical writers spend on copy-paste activities.

    Intelligent Translation: uTranslator

    uTranslator is not only available in chatbot and cloud document plugins but can also be used in web interfaces and professional technical documentation editors like Oxygen. After users sending the content to a large language model for pre-translation, the company’s terminology and memory databases will replace any matched content that needs updating, generating a translation that meets the standards of professional domains. In Oxygen, users can translate while writing, and on the web, users can utilize terminology and memory databases for multi-format document translation.

    Document Quality Inspection: uChecker

    Integrated into the Oxygen editor, this feature allows users to perform quality checks with only one click after completing content writing. uChecker incorporates the company’s writing standards, helps with punctuation, spacing, measurement units, and non-standard terminology checks and provides modification suggestions. By integrating quality checks into the writing process and delegating tedious inspection tasks to uChecker, technical writers is enabled to write and check simultaneously.

    AI and New Technologies in Technical Communication

  • To meet the new English language proficiency requirements for civil aviation professionals, enhance teaching and training capabilities in aviation operations and maintenance, and provide technical support for the overseas operation of domestically produced commercial aircraft, Ordos Institute of Technology has collaborated with Civil Aviation University of China, Tianjin Tianhangchuangli Science & Technology Co.Ltd, and COMAC Shanghai Aircraft Manufacturing Co.Ltd. Focused on the maintenance needs of domestic aircraft, they developed a training platform for the three-dimensional (3D) data maintenance manuals of a specific model of domestically produced commercial aircraft. This platform utilizes technologies such as artificial intelligence and virtual simulation, offering an immersive bilingual (Chinese and English) training experience based on maintenance big data and logic. The training platform has been tested at multiple sites, including the Maintenance Delivery Center of COMAC, the Large Aircraft Academy at Ordos Institute of Technology, Civil Aviation University of China, Chengdu Airlines and China Eastern Airlines Jiangxi Branch, receiving positive feedback. Additionally, the local Education and Sports Bureau is planning to use some features of this system for youth science outreach activities. Media organizations in Inner Mongolia Autonomous Region and Ordos City have conducted multiple reports on this project.
    Education, Professional Development, and the Future of Technical Communicators

  • In response to the trends in Legal Tech, students should be equipped with the necessary tools and skills to meet the high demand for visualizing and digitizing ducument in the future legal industry. This will enhance their career prospects and provide them with more diverse opportunities for professional growth.

    Aligned with the national need for collaborative training of foreign-related legal talents, the course "Foreign-related Legal Translation and Technical Writing" is designed to prepare students to proficiently manage the translation and drafting tasks of common legal documents. Students will also be taught to leverage modern document visualization and digitization technologies, particularly graphics, charts, and data visualization techniques, to present complex legal information clearly and concisely. This approach enhance their capacity to effectively utilize modern technology in practical settings, thereby enhancing their competitiveness in the job market.

    This presentation will focus on systematic course planning and practical case studies. By analyzing actual cases such as international contracts, legal opinions, and arbitration awards, and incorporating in-depth applications of translation and writing tools, this presentation aims to provide innovative solutions for legal practitioners and business users, highlighting the significance of technical communication in foreign-related legal practices.

    Education, Professional Development, and the Future of Technical Communicators

  • This presentation will introduce the long-employed and validated best practices in the field of aviation technical communication. User communication and airworthiness assurance in the aviation industry have been operating for decades in the context of global collaboration. The processes involved include user proposals, vendor technical evaluations, and authority approvals of airworthiness. This workshop will share practical experiences in aviation technical communication and strategies for effective communication across time zones, providing a reference for companies expanding internationally to navigate global collaboration. It also aims to foster dialogue in the field of technical communication across various industries.
    International Standards in Technical Communication

  • Introduction:
    1. Introduces the concept of user journey maps and highlights their importance in after-sales service
    2. Discusses the necessity and expected benefits of combining after-sales manuals with user journey maps

    How to Create User Journey Maps:
    1. Key components of user journey maps
    2. How to incorporate key components into user journey maps
    3. Methods and tools for designing effective user journey maps

    Integrating User Journey Maps with After-Sales Manuals:
    1. Enhances manual content based on user journey maps
    2. Optimizes the presentation of manuals guided by user journey maps

    Case Studies:
    Presents one or two case studies to demonstrate the steps and highlights of creating user journey maps

    Implementation Steps and Considerations:
    1. Summarizes the implementation process for integrating user journey maps with manuals
    2. Highlights common mistakes and precautions
    3. Evaluates the effectiveness of user journey maps

    User Experience (UX), User Interface (UI) Design, and Interactive Documentation

  • This presentation explores the development of TikTok content aimed at introducing language, socio-culture, and human stories, targeting Indonesians interested in China. The focus is on how content can build cross-cultural understanding while creating a platform for Mandarin learning. By sharing personal experiences of communication in China and offering insights into Chinese perspectives, the content encourages engagement and curiosity about both the language and culture.

    The TikTok channel aims to connect with a niche audience in Indonesia who are passionate about China, using relatable stories and practical communication tips. Through authentic storytelling and firsthand experiences, the content highlights challenges and rewards of learning Mandarin and immersing in Chinese society. These stories serve as a bridge, providing viewers with a deeper understanding of Chinese culture, societal norms, and everyday interactions, while emphasizing the importance of language as a tool for connection.

    As viewers engage with the content, they are encouraged to join a growing community focused on Mandarin learning. By presenting language in context and providing real-life examples, the account motivates Indonesians to take an active interest in learning Mandarin. The interactive nature of TikTok allows for constant engagement, making learning fun and accessible, and developing a sense of belonging among those passionate about Chinese language and culture.

    In just two months, the TikTok channel has gained over 20,000 followers and accumulated more than 11 million views. This rapid growth is not only a testament to the appeal of the content but also its ability to engage viewers and spark interest in Mandarin learning. As a result, more than 20 private Mandarin sessions have been conducted, demonstrating the tangible impact of the contents on language acquisition. These sessions reflect the growing demand for personalized language instruction, with many viewers seeking to deepen their knowledge after being inspired by the content.

    This presentation highlights the potential of TikTok as a powerful platform for cultural exchange, illustrating how personal experiences can inspire language learning and bring together communities with shared interests. Through relevant content, the channel hope to have lasting impact on language acquisition and cross-cultural understanding, bridging the gap between Indonesia and China.

    Content Development, Management and Delivery

  • Research consistently demonstrates the centrality of writing in engineering careers, with studies indicating that engineers spend up to 70% of their workday on writing tasks. As Winsor (1990) succinctly stated, "writing is what engineers do" (p. 68). However, the emergence of artificial intelligence and large language models has sparked debate about the future of writing instruction in engineering education.

    Robert Connor’s 1982 seminal work on the history of technical writing instruction in American colleges and universities informs us that technical writing instruction in the US is closely related to engineering education from its beginning. By 1900, engineering schools recognized the critical need of their students for the knowledge of the writing demands for the engineering profession. So, technically speaking, it was within these engineering schools that the courses we now know as technical writing began. However, technical writing has not been offered as a standalone subject to undergraduate engineering students in China.

    Upon arrival on US campuses, senior Chinese engineering students were appalled that they were required to take a technical writing class offered by the English Department as part of their engineering curriculum. This panel presentation invites one Chinese engineering professor with study and working experiences in both China and the US, three Chinese engineering students who studied in China and the US to talk about their initial exposure to technical writing instruction, their application of technical writing guidelines in engineering contexts, and their insights on the connection between technical writing and engineering education. The panelists will report how they engaged with an assignment in a technical writing class in the fall of 2024. The assignment asked the students to “retell” the history of technical writing instruction in American colleges as they have read from Connor’s article to their chosen Chinese audience, for example, parents, professors, and former classmates. These students’ final deliverables demonstrate that with formal instruction, they can quickly apply fundamental technical writing principles, such as audience analysis, document design, and clear organization of complex information, into practice.

    The panelists will interact with conference participants to explore how technical writing instruction can better serve engineering students.

    Education, Professional Development, and the Future of Technical Communicators

  • In the field of software development, agile development has become widespread, and AI technologies are advancing rapidly. However, high-tech ToB software companies still face significant challenges in both business and technology. With enterprise-scale business and complex scenarios, how can companies ensure and enhance efficient delivery in volatile environments? How can AI be fully leveraged to support rapid product innovation and implementation in intelligent computing infrastructure? The tight integration of documentation with software development introduces additional challenges and demands for technical writers and entire documentation teams in ToB software development. For example: How can documentation effectively integrate with and support fast-paced, iterative R&D cycles How can documentation teams quickly adapt to a company’s AI-driven restructuring of its products? For individual technical writers, it requires improving skills across business, technical, and documentation domains. For teams, it involves enhancing workflows, establishing standards, and adopting advanced tools to improve overall management.
    Software Documentation

  • The rapid development of AI and large language models (LLMs) has enabled the application of digital human intelligent agents in technical translation and communication, driving industry innovation. This presentation delves into their multimodal generation and intelligent knowledge dissemination capabilities, exploring their practical applications in teaching design, case generation, and scenario-specific technical manual creation, while providing insights into their future potential.

    In teaching design, these intelligent agents leverage technologies such as natural language processing (NLP), retrieval-augmented generation (RAG), dynamic knowledge graphs, and sentiment analysis to support case generation and precise teaching scenario design. This significantly improves the efficiency and effectiveness of translation education. The agents can assess translation quality dynamically and provide personalized feedback, helping students master specialized terminology, understanding cultural metaphors, and enhancing cross-cultural communication skills. In technical communication, these agents combine multimodal generation technologies (e.g., 3D visualization, voice-based retrieval, and sentiment analysis) to create dynamic, scenario-specific technical manuals, making knowledge dissemination more precise, engaging, and efficient.

    The presentation highlights real-world applications, showcasing how digital human intelligent agents leverage scenario recognition to simulate real usage environments, enable voice-triggered dynamic knowledge retrieval, and generate comprehensive solutions. It also explores the future of intelligent technical manuals through multiple intelligent agents collaboration and information fusion. Looking ahead, through multimodal integration and intelligent collaboration, digital human intelligent agents are expected to drive a fully integrated smart ecosystem in technical translation and communication, offering forward-thinking guidance for industry development.

    Education, Professional Development, and the Future of Technical Communicators

  • In this presentation, I will begin with my self-learning journey in technical writing, sharing how I transitioned from being an English major with a background in localization to becoming a technical writer with no prior experience in the field and how I had the chance to join Infomagic's course "Trainning Camp for TC Beginner" where I interacted with experienced professionals, learning from their insights and advice. This experience significantly influenced my subsequent internships, enabling me to gain deeper insights.

    Then, the presentation will focus on the role of AI in empowering the growth of newcomers in technical writing, encompassing both personal and document-related aspects.
    For the personal aspect, I will discuss how I utilized AI to assist in creating my personal website which serves as a platform for me, a new TCer, to showcase works and enhance personal influence. (Visit my personal website: https://lishanlan.com/folio2/index.html.)
    For the document-related aspect, I will share my experience of using AI to explore automated documentation workflows. This exploration was motivated by the real challenges encountered during my internships: how can document teams with multiple language requirements and frequent updates keep documents synchronized across various languages with limited human resources? Previously, due to constraints in human resources and costs, teams may have had to sacrifice the quality and timeliness of documents in some languages. However, with the emergence of AI agents, leveraging AI to automate the synchronization of multilingual documents has become feasible. This will be the central focus of this segment of the presentation.

    Education, Professional Development, and the Future of Technical Communicators

  • "Prompt Engineering: Your New Superpower in Technical Writing" explores how technical writers can harness the power of AI through effective prompt engineering. This presentation covers the fundamentals of crafting precise and context-rich prompts to guide AI models in generating high-quality technical content. Attendees will learn key principles of prompt design, practical applications, and best practices to enhance efficiency, consistency, and accuracy in their documentation processes. By mastering prompt engineering, technical writers can unlock new levels of productivity and creativity, making AI a valuable collaborator in their work.
    AI and New Technologies in Technical Communication

  • 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.

    Content Development, Management and Delivery

  • Multimodal documents integrate text, images, audio, and more. Here are some best practices for developing and applying them:
    • Content Planning: Clearly define the purpose and target audience. For example, when creating educational materials for children, use simple language and engaging visuals. Additionally, decide on the mix of modalities; for a product user guide, consider pairing text with demonstration videos.
    • Design Principles: Maintain a balance among elements to prevent any single component from being overly dominant. For instance, in academic reports, ensure that charts and text are proportionally aligned. Consistency is vital, including uniformity in fonts, colors, and styles to uphold a professional appearance.
    • Technical Application: Choose suitable tools for document creation, such as InDesign or Canva for electronic manuals. Optimize multimedia elements by compressing images and audio files to reduce document size and improve loading speed.
    • User Experience: Make content easily accessible by adding alternative text descriptions for images to assist visually impaired users. Conduct testing and gather feedback to continuously enhance the overall quality of the document.
    User Experience (UX), User Interface (UI) Design, and Interactive Documentation

  • A practical experience sharing on how technical writers can leverage AI technology to create value for customers and enterprises:

    1. From 0 to 1 - The Birth of Intelligent Customer Service: comprehensively analyzes the behind-the-scenes story of a small team building an intelligent customer service system from scratch, and reveals the key steps and considerations in the building process.

    2. AI x Technical Documentation: explores how AI and technical documentation blend in a fascinating way, and delves into the amazing cross-document integration that can piece together scattered information into a complete knowledge chain; utilizes flexible information extraction techniques to accurately capture the details users need.

    3. AI Fills the Technical Gap: focuses on the key role of AI, which functions as an "all-purpose patch" in the tech field, in technical content development. For example, in term management, AI can improve the comprehensibility and consistency of documents; it can also enhance the cooperation efficiency between technical writers and R&D personnel by adding code instructions.

    4. The "Treasure Trove" of Enterprise Knowledge Assets: how to leverage AI to uncover a "knowledge goldmine" from a large number of customer support communication records to build an enterprise knowledge base, which provides strong support for internal personnel to solve problems, and makes the technical content richer, diverse, authoritative and reliable, thus fully meeting the needs of both customers and enterprises.

    AI and New Technologies in Technical Communication

  • The presentation will introduce some new directions in Siemens' documentation development in recent years, with a focus on how to enrich the documentation content using elements such as product renderings and animations
    Business Values of Technical Communication

  • As globalization accelerates and information technology develops rapidly, telling the Chinese stories well is crucial in enhancing the country's cultural soft power and international image. Technical communication, as an emerging field that integrates technology and communication, provides new ideas and methods for telling the Chinese stories well. Cultivating technical communication thinking skills to tell the Chinese stories well can help integrate diverse communication technologies and break through cross-cultural barriers. On one hand, from the perspective of content, we need to leverage technology to deeply explore the meaning of Chinese stories and present them in visual and interactive forms, such as using virtual reality (VR) and augmented reality (AR) to create immersive experiences that allow the world to experience the charm of Chinese culture more vividly. On the other hand, in terms of communication channels, we should take advantage of social media, big data, and other technological tools to accurately target audiences and achieve personalized communication. At the same time, it is essential to cultivate professionals with technical communication thinking skills. This can be achieved by offering courses in technical communication and technical writing, incorporating case studies from Chinese enterprises and industries, developing the latest efficient communication technologies, and improving both pre-job and on-the-job training mechanisms. This will enhance practitioners' audience thinking, technical thinking, and holistic thinking abilities, thereby improving overall professional competence. In conclusion, cultivating the technical communication thinking skills to tell the Chinese stories well is an important path to bringing the Chinese stories to the global stage.
    Education, Professional Development, and the Future of Technical Communicators

  • The workshop explores how digital transformation and intelligent upgrades are crucial for companies seeking to expand their overseas businesses. By utilizing digital tools and intelligent technologies to enhance document production, content creation, and brand influence, we delve into the importance of technical writing and digital communication in overcoming global market challenges, such as cultural differences and regulatory compliance. Through practical strategies and real-life case studies, we demonstrate how these advancements improve the company's competitiveness and efficiency in international markets.

    1. Introduction: Challenges and Opportunities for Enterprises Going Global

    2. Digital Transformation: Building the Foundation for Overseas Expansion

    3. Intelligent Upgrades: Empowering Enterprises to Take off in Overseas Markets

    4. Digital Communication: Crafting a Global Brand for Overseas Expansion

    AI and New Technologies in Technical Communication

  • In 2023, the data storage field introduced an intelligent Q&A application called Intelligent Storage Assistant Xiaohai 1.0. Initially, the application faced challenges such as low accuracy in responses, limited coverage of scenarios, and high costs associated with generating language data outputs.

    By 2024, the Xiaohai team tackled these issues by developing an automatically updatable data foundation, a new generation Q&A technology framework, and a data flywheel solution. These improvements led to fully automated language data management, 100% coverage of scenarios, and an 85% accuracy rate of knowledge-based answers in user plane storage systems.

    AI and New Technologies in Technical Communication

  • With the development of digitalization, equipment information is transitioning from traditional paper documents to digital information. However, due to the lack of standardization and interoperability, the preparation, delivery, distribution and use of information in process industry still requires a lot of labor and time costs. In this session, I will explain how manufacturers can prepare and deliver documents more easily, and how users can access and get documents more convenient.

    In this presentation, you will learn about the innovative technologies of Digital Data Chain: the use of ID Link and its linked metadata-rich equipment information to form standard document containers, which can then be delivered, shared, and used through a variety of means, including information exchange platforms (IEP), to achieve a higher degree of automation throughout the whole process. These technologies are also an important part of Industry 4.0 and digital twins and the basis for the realization of digital and intelligent plants.

    Content Development, Management and Delivery

  • Long awaited, the European Machinery Regulation 2023/1230 was published on 14 June 2023. It shall apply from 20 January 2027 and will govern the manufacture and distribution of machinery within the EU for a long time to come. The Regulation will indeed pose many challenges for technical communicators. For example, there are requirements on the availability of instructions for use and technical documentation and their formats - for the first time, the digital format for instructions for use for machinery has been included in a legal text. In order to bring forward some of the requirements of the Machinery Regulation and make them applicale sooner, the European Commission has revised the so called “Guide to application of the Machinery Directive 2006/42/EC” in April 2024. The bicycle industry in Germany in has launched a project - in which also tekom Germany is involved - to implement the new requirements under the Machinery Directive now. It will support European and international bicycle manufacturers in implementing the essential safety information requirements. The lecture will provide background information, address open issues, and give practical advice.
    International Standards in Technical Communication