Using Federated Data Models to Reduce Barriers to Licensing Data
The value of licensing data has become more and more important as machine learning models are being developed and implemented. Access to large volumes of data are necessary to fuel such models. But challenges to providing data based on privacy, personally identified information and hippa laws make transferring data complex. These challenges are particularly difficult in cross border transactions. Learn in this workshop about the challenges imposed by data licensing and technological solutions to provide access rather than transfer using federated data models as implemented by key industry participants like Owkin.
Start Time: 11:00
End Time: 12:30
Le Centre Sheraton Montréal 1201 Boul. René-Lévesque O, Montréal, QC, H3B 2L7
PartnerAmster, Rothstein & Ebenstein LLP
Vice President of PartnershipsOwkin
Vice President, Technology Development and New VenturesBoston Children’s Hospital