How metadata and knowledge graphs strengthen the reliability of GenAI

Ausstellerpräsentation

19. September
11:50 - 12:20 AM (CEST)
Aluminium

finished

Karsten Schrempp
- PANTOPIX GmbH & Co. KG

At a time when companies are increasingly relying on the potential of generative AI for knowledge representation, many are faced with the challenge of achieving reliable results. The use of language models requires further measures to ensure consistent, accurate and, above all, reliable answers.

What steps are necessary to use language models effectively? We show how the use of metadata and knowledge graphs helps to validate generative AI statements based on company knowledge.

Speaker

Karsten Schrempp

PANTOPIX GmbH & Co. KG

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Biography

Karsten Schrempp studied mathematics and philosophy at the Eberhard Karls University in Tübingen. In the meantime, he has more than 20 years of self-employment in and with various well-known companies in the field of technical communication behind him.

In 2012 he founded PANTOPIX to consequently implement his way of topic-oriented and knowledge network-based information acquisition and provision in customer projects.

In doing so, he pursues two goals: In the background, every project needs clear and precise modeling. In the foreground, a solution must be created for each participant, regardless of whether he or she is involved. He leads his customers to these solutions in exciting and agile projects.

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