nordic 26

How to Establish AI Driven Technical Knowledge Management

  • Fachvortrag
  • AI & Automation in Technical Communication
  • 24. September
  • 09:00 AM (CEST) - 09:45 AM (CEST)
  • Scandium
  •  Helmut Nagy

    Helmut Nagy

    • Graphwise

Contents

As part of our technical knowledge management initiative, we established the Graphwise Knowledge Hub as an agentic AI Platform based on knowledge graphs that provides access to all relevant information about the company and its products. We integrated information from various sources— technical documentation market research, marketing information. CRM etc.—and created AI-driven applications and agents to provide faster access to the right information for different information needs, thereby improving the daily work of our employees and customers.

The goal was to accelerate the enablement of our employees, partners and customers, reduce the onboarding time, and create an infrastructure for the use of AI in the company that avoids hallucinations and provides a trustworthy source of information for internal and external customers. In my presentation, I will provide an overview of our achievements to date, discuss the lessons learned, and share insights from the evaluations we conducted to verify whether we were able to achieve our goals.
 

Takeaways

  • How to setup an agentic AI infrastructue
  • How to ground it by knowledge graphs
  • How to make it an AI infrastructure for the whole company
  • Achievements and lessons learned

Speaker

 Helmut Nagy

Helmut Nagy

  • Graphwise
Biography

Helmut 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 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.