It's all in the research: Using AI to solve issues in health care

The University of Alberta uses SAS Viya to help its researchers expand their capacity for big data analysis and support the use of open source software and other tools popular among students. Conducting research is not a straightforward process, and the terabytes of data cascading into labs (both physical and virtual) requires serious horsepower to analyze. Personal desktops and small servers are increasingly coming up short in meeting the demands of artificial intelligence and machine learning projects. Data also comes in various shapes and sizes. Researchers often combine data related to diagnostic imaging, risk prediction, clinical trials and much more.