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.
Featuring:

Barbara Peters
Sr. Manager, Pfizer

Steven Penn
Strategy Lead, Information Management, Pfizer

Jeff Evernham
VP, Product Strategy, Sinequa

Sam Shelton
Partnership Manager, SciBite

Watch the video now.
Discover what Sinequa can do for your business.
Related videos.

Le futur de la recherche en Entreprise
Revolutionize knowledge discovery, boost productivity, and accelerate the way we work with AI-powered search and generative AI for improved decision-making and efficient information retrieval.

Replay: Accelerate Drug Discovery with AI-Powered Search
Revolutionize knowledge discovery, boost productivity, and accelerate the way we work with AI-powered search and generative AI for improved decision-making and efficient information retrieval.