Empower pharma decision-making with NLP from molecule to market
Pharma companies need good data to support decision making, from discovery to medical, development to commercialization. With 80% of all data in unstructured formats, organizations need innovative technologies to untap the potential value of these data streams. Deploying natural language processing (NLP) at scale, for example embedding NLP into your machine learning workflows, is key to achieving a step change in data access and data insights. This talk will provide an overview of pharma use cases from a range of application areas, highlighting where significant benefit can be found, using sources such as preprints for latest research or GEO for target landscapes.