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Brian Donohue

Capital One
As an Ontologist in Enterprise Data Management, Brian is responsible for leveraging semantic technology to mitigate data risk and promote a shared understanding of data across Capital One. Prior to joining Capital One, Brian spent 3 years at a Research and Defense company as a developer and curator of the Common Core Ontologies: a suite of open source, mid-level ontologies currently under consideration as a NIST Standard in Artificial Intelligence. Brian holds a Ph.D. from the University at Buffalo (SUNY), and is also an affiliate member of the National Center for Ontological Research. His research has focused on applications of formal ontology to cybersecurity, situational awareness, aircraft maintenance, geopolitics, natural language user interfaces, and legal and regulatory compliance.

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May 06th 2020, 5pm EST

Q&A of Session 5 with Bethany Sehon, & Brian Donohue from Capital One, Radu Marian from Bank of America and Nicolas Seyot from Morgan Stanley.
One of the challenges in protecting consumer privacy and managing data risk is the ability to validate that privacy-related data from across our data ecosystem has been identified and categorized accurately and consistently. This challenge has become especially salient in light of recent legislation like GDPR and CCPA. At Capital One, the 2nd line is using standardized semantic models (ontologies) and technology to validate whether data is privacy-related as well as recommend privacy categories to data producers.