tekom annual conference 2024

tekom annual conference 2024

01. October 2024

From 5 to 7 November, Europe’s largest conference for technical communication will once again take place in Stuttgart – from AI and terminology to law, standardization and UX. The tekom annual conference brings together cross-industry participants, speakers, students and exhibitors in technical communication from all over the world.

We are very much looking forward to being an exhibitor again this year. Visit us at our stand 2F22 – the PANTOPIX team is looking forward to talking to you. We look forward to shaping the digital future of your company with you and making your company-wide data available intelligently. Together with you, we will develop the right content strategy for your company.

We are very much looking forward to this year’s panel discussion on the evolution of knowledge with members of the Component Content Alliance. Karsten Schrempp will be moderating the discussion with Ulrike Parson, Klaus Fleischmann, Helmut Nagy and Harald Stadlbauer on intelligent content creation in the age of humans and AI.
We also have some exciting presentations planned – and we are sponsoring a presentation at the Technology Days for the first time.

We look forward to welcoming you to our stand at the annual conference soon. We can also already reveal that there will be exciting news at PANTOPIX – find out more at our stand! Secure your Early Bird ticket for the tekom annual conference by October 14.

Our expert presentations

Panel | The Evolution of Knowledge: Intelligent Content Creation in the Age of Humans and AI
05.11.2024 | 5.30 – 6.15 pm
Ulrike Parson, Klaus Fleischmann, Helmut Nagy, Harald Stadlbauer and Karsten Schrempp

In an era where intelligent content is increasingly shaped by artificial intelligence, humans are at the center of an evolving cycle as creative drivers. The goal is to deliver customized content with semantic depth that precisely addresses users’ needs. This process is initiated by human authors and supported by generative AI, with human expertise flowing in where AI reaches its limits. Continuous user feedback creates a self-improving cycle that leads to ever higher quality content. In the panel, we would like to discuss the dynamics of this “knowledge in a cycle”. From the shifting paradigms of content creation to the synergy between AI and human creativity, we will explore fundamental principles, strategies and ethical considerations that are shaping the future of intelligent content creation. Join us as we uncover the secrets behind intelligent content creation and provide real-world insights from leading industry experts.

All panelists are part of the Component Content Alliance, a global community that brings together content experts, thought leaders and technical professionals to collaborate, share insights and drive innovation in component content development.

> to the program

Everything at a glance! Using the maturity model for content strategy
06.11.2024 | 11.30-12.15

Prof. Dr. Martin Ley

We (almost) all want to provide technical information intelligently. But where and how do we actually start? With the purchase of a content delivery portal (CDP)? Or with the selection of a suitable component content management system (CCMS)? Or do one or two prerequisites need to be created on the process side before we can even think about the intelligent provision of information? Based on a holistic approach, we describe the path to a comprehensive content strategy. We show that the editorial process, CCMS and CPD must be considered together and that any isolated approach falls short. It makes no difference whether you are already thinking about introducing a CDP today and/or are still delivering documents. A long-term, successful content strategy starts today with the right measures. Setting the wrong course, on the other hand, can have far-reaching consequences tomorrow!

> to the program

Product ontologies as backbone for GenAI
07.11.2024 | 10.00 – 11.45 a.m.
Maximilian Gärber and Prof. Dr. Martin Ley

Product ontologies without GenAI are frozen – GenAI without product ontologies is blind! In this talk, we will explain our approach where a set of product ontologies forms the backbone for LLM-based chats. Considering that LLM-based chats are error-prone in 3 out of 10 cases, we have developed several product ontologies as the core of our knowledge graph, extending the iiRDS ontology for technical information. By representing product portfolios, products and/or product variants and product features, a knowledge graph provides context for LLM-based chats and enables powerful, reliable applications such as product or service recommendations.

> to the program

On the trail of truth: Can knowledge graphs make generative AI reliable?
07.11.2024 | 15.00-15.45

Karsten Schrempp and Jonathan Schrempp

Gardner attests: The hype surrounding Generative AI continues. Knowledge graphs, on the other hand, are sinking into the valley of tears. So do we leave the field to ChatGPT & Co. despite their obvious weaknesses in terms of accuracy, reliability and data security? Or is there still hope for fact-based, reliable and useful statements? We are convinced of the latter – through the combination of language models on the one hand and knowledge graphs on the other. Would you like to know how this works in practice? In our presentation, we will show you how it works using a concrete example.

> to the program

Our speakers

Sofia Darie Consultant PANTOPIX

Sofia Darie

Consultant | PANTOPIX

Oliver Haug

Project Manager | PANTOPIX
Maximilian Gärber Technical Consultant PANTOPIX

Maximilian Gärber

Technical Consultant | PANTOPIX
Maraike Heim

Maraike Heim

Head of Marketing | PANTOPIX

Karsten Schrempp

Managing Director | PANTOPIX
Foto Jonathan Schrempp

Jonathan Schrempp

Senior Knowledge Engineer | PANTOPIX
Foto Dr. Martin Ley PANTOPIX

Dr. Martin Ley

Managing Director | PANTOPIX

We will be happy to inform you regularly about new articles, videos or podcast episodes.

News & Dates

Current insights

Share this post
Kopiert!

Search

Search