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Knowledge Graphs (2 of 2)
Helmut Nagy
Abstract
Part 2 of a two-part webinar series on knowledge graphs.
Webinar 2/2: Knowledge graphs – How can knowledge graphs be integrated into the documentation process?
AI is currently transforming the way technical documentation is produced. Many companies are using AI, with mixed results. Knowledge graphs offer ways to keep content under control within the context of AI. In this second seminar, we demonstrate how knowledge graphs can be integrated into the documentation process to support both the creation and the delivery of documentation. Using a number of real-world examples and some prototypes, we will show how knowledge graphs help to make documentation ‘AI-ready’.
Details
- Startzeit
- 27.10.26 | 04:00 Uhr
- Endzeit
- 27.10.26 | 05:00 Uhr
- Zeitzone
- Europe/Berlin
- Host/Gastgeber
- tekom Österreich
- Aufzeichnung
- Aufzeichnung nur für eingeloggte Mitglieder verfügbar.
- Folien
- Folien nur für eingeloggte Mitglieder verfügbar.
Lernziele
The webinar series will address the following questions:
- What is a knowledge graph?
- How is it structured?
- What technologies and standards underpin them?
- What can I do with a knowledge graph?
- How can knowledge graphs be used in the context of AI?
Speaker
Helmut Nagy
Helmut Nagy is VP Sales Enablement of Graphwise, the provider of the Graphwise Platform a native graph AI platform. Graphwise has offices in Sofia, Vienna and New York. Graphwise Platform is used by over 200 organizations worldwide to provide semantic AI solutions.
Helmut is a well-known expert in the field of knowledge management, change management and semantic AI. He has worked with global organizations to help them develop and implement their knowledge and AI strategies. Helmut is co-author of The Knowledge Graph Cookbook and the DOM GraphRAG paper.