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Large pharma has big data challenges, namely scale, data silos, heterogeneous terminology and complexity of data usage, but these aren’t unique to pharma. Learn how by leveraging ontologies, companies can structure their data by identifying key concepts contained within the data. Mapping these to public identifiers and equivalent names improves data findability and interoperability, supporting search and analytics applications such as enterprise search, knowledge graphs or AI. This presentation showcases examples of a leading data ontology platform used by leading life science organizations with case studies, and how through an ecosystem of partners, this can be applied at enterprise scale to other industries.

Speaker

Joe McCarthy

Head of Sales & Operations, NA, SciBite