AI-ready biomedical data: how 600M+ curated relationships accelerate discovery

Data scientists need connected, contextualized data to build AI workflows they can trust. In practice, that means moving past scattered spreadsheets and disconnected systems toward a semantic layer that links internal, licensed, and public data together, with every relationship traceable back to its source.

Perspectives on AI, LLMs, and semantic technologies in the life sciences industry group

In this webinar, ONTOFORCE and QIAGEN show how that works in practice. See how DISQOVER, ONTOFORCE's semantic data platform, connects to QIAGEN's Discovery Knowledge Base, a graph built on more than 20 years of curation, to give research teams a shared, queryable layer for both technical and non-technical use.

Register to join

Moderator and panelists

Venkatesh Moktali, PhD

Speaker

Director of Product Management, Data Science

QIAGEN

Assia Saltykova

Speaker

Senior Data and Knowledge Solution Specialist

ONTOFORCE

Tine Geldof

Speaker

Solution Enablement Director

ONTOFORCE

Alejandro Parralejo

Moderator
Director Client Strategic Partnerships EMEA

ONTOFORCE

What you'll learn

How to give your data science teams one connected, trustworthy layer to build AI workflows on, instead of stitching together scattered sources
How to trace any AI-derived answer back to its source, version, and context, so results hold up to scientific and regulatory scrutiny
What curated relationships add beyond raw AI-derived ones, and why that distinction matters for how much you can trust your models
How to make the same knowledge graph usable across your organization, by hand or programmatically, so no team is left working from a different version of the data

Your models are only as good as the data behind them. QIAGEN and ONTOFORCE have connected 600M+ curated biomedical relationships directly into DISQOVER, giving data science teams one semantic layer where internal, licensed, and public data are harmonized, traceable, and ready to build on.

Join the session to see it live and hear how pharma teams are already putting it to work.