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!
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.
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.
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 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.
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
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.
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.
“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.
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.
The premier gathering event for all decision-makers and specialists in the field of technical communication in China.
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