Building FAIR Solutions and Knowledge Graphs for Research in a Large Pharmaceutical Organization

John Apathy's keynote at The Knowledge Graph Conference addresses challenges faced by pharmaceutical companies due to inadequate FAIR data. He illustrates cases of missing critical data leading to significant costs in time and money. A notable example is a researcher using thumb drives for a multi-million-dollar study, terming it "dark data." This underscores the importance of effective data management for business leadership and highlights sponsorship opportunities in FAIR data. John emphasizes two data production trends: establishing a life cycle akin to software and adopting consumerization for AI readiness. He stresses the need for a semantic layer to bridge data production and consumer needs. The talk also notes that building semantic objects one at a time is insufficient for complex research questions. He advocates for early colleague involvement in design and solution processes to alleviate tensions between enterprise and domain. Overall, he likens addressing this issue without business support to an uphill battle. #medicine #artificialintelligence #datascience