Solving Large-scale Medical Imaging AI Problems: Enabling Covid-19 Research at University of Wisconsin School of Medicine
Recorded on Tuesday, March 30th at 1 pm EDT
Data management is key to the development of AI and often accounts for 80% of researchers’ workload leaving minimal time for analysis. There are many challenges to getting high-quality data into the hands of researchers and AI developers quickly and efficiently. Organizations need access to a high volume of data that is curated to common standards, has access to powerful computing resources and meets privacy and compliance standards.
Drawing upon experience in the Life Sciences, Can Akgun, SVP of Business Development at Flywheel, discusses streamlining the ingestion and organization of petabytes of diverse data from internal and external sources, including real world data, and Flywheel's ability to scale processing and support machine learning workflows.