Contextualized Scientific Search to Power Insight and Innovation

Effectively navigating and utilizing huge volumes of internal and external data remains aspirational for many scientific organizations and this hinders innovation. The data is typically unstructured, and language is ambiguous, making keyword-based search and analytics unreliable. Contextualizing the data by mapping key terms and concepts back to ontologies, public standards or proprietary terminology enables this complex data to be found, accessed and used interoperably to support downstream applications.

If you have missed this event, you can still watch the replay to discover Jeff's speaking session during the Digitech Pharma & AI 2022!

Jeff Evernham

Jeff Evernham

VP of Product Strategy at Sinequa

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