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!
VP of Product Strategy at Sinequa
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In this webinar, learn how Pfizer is driving scientific innovation using internal compound search as an exemplar use case. SciBite and Sinequa are supporting this at an enterprise-wide scale through our ongoing partnership. Speakers include: Barbara Peters, (Pfizer), Steven Penn (Pfizer), Sam Shelton (SciBite), Jeff Evernham (Sinequa).