Explore how federated knowledge graph architecture empowers Boehringer Ingelheim to scale data and AI. By enabling business domains to build and manage their own local graphs, the federation preserves autonomy while connecting distributed data into a unified enterprise view—reducing integration costs across use cases. A global semantic layer—what we call the Knowledge Foundation—resolves inconsistencies across domains, delivering AI-ready, context-rich data that supports scalable governance, discovery, and innovation in drug development and manufacturing. Finally, the discussion will reflect how this approach can be powered by platforms like metaphactory to unlock the value of data and accelerate decision-making through consumable knowledge and actionable insights.
Speaker
Maksim Kolchin, Technical Product Owner, Boehringer Ingelheim
Bio: Maksim Kolchin is Technical Product Owner at Boehringer Ingelheim, where he leads the development of an Enterprise Knowledge Graph Platform built on Semantic Web technologies, FAIR principles, and a federated data governance. The platform supports key areas such as drug discovery, clinical research, supply chain management, and etc. Maksim is passionate about tackling data integration challenges using both proven methods and emerging approaches like knowledge graphs, which he sees as essential to the next major leap in data interoperability.
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