According to Forrester Research, “Relevant knowledge at the right time is priceless in the enterprise.” This is particularly true in the highly competitive pharma industry where knowledge is hidden in a deluge of structured and unstructured data of all kinds, buried among publicly available sources such as trade databases, scientific publications, and patents, as well as internal repositories like R&D data, clinical trials, recorded patient interviews, and more!
SciBite and Sinequa have teamed up to provide a winning combination of Cognitive Search and powerful Life Sciences Semantics to help leading pharma organizations unlock the wealth of R&D data.
During this webinar, Lee Harland, SciBite Founder and Chief Scientific Officer and Gengis Birsen, Sinequa Sr. Sales Engineer will cover:
SciBite CSO and Founder Lee Harland shares his views on why ontologies are relevant in a machine learning-centric world and are essential to help "clean up" scientific data in the Life Sciences industry.
ReadOur latest blog explains how SciBite's Ontologies team takes public biomedical ontologies and tailors them so that they can be used for named entity recognition (NER).
ReadGet in touch with us to find out how we can transform your data
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