Contextualizing Scientific Search with Pfizer, SciBite and Sinequa.

Contextualizing Scientific Search with Pfizer, SciBite and Sinequa

Effectively navigating and utilizing huge volumes of internal and external data remains aspirational for many large pharmaceutical organizations and this hinders innovation. In the life-sciences, 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.

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.


Barbara Peters

Sr. Manager, Pfizer

Steven Penn

Strategy Lead, Information Management, Pfizer

Jeff Evernham

VP, Product Strategy, Sinequa

Sam Shelton

Partnership Manager, SciBite

Webinar: Contextualizing Scientific Search with Pfizer, SciBite and Sinequa

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'Contextualizing Scientific Search with Pfizer, SciBite and Sinequa'

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