Digi-Tech Pharma & AI 2022.
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
VP of Product Strategy at Sinequa
Watch the video now.
Discover what Sinequa can do for your business.
Related webinars.
Spread Knowledge to Uncover Legal Risk
Learn how Sinequa helps law firms to uncover risks and maintain a high level of security. And discover the way that Stibbe used our enterprise search solution to gather all their knowledge and documents in a single entry point!
Contextualizing Scientific Search with Pfizer, SciBite and Sinequa
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).
