One area that artificial intelligence (AI) has shown great promise is in the analysis of
radiometric data such as MRI and CAT scan images to speed the detection of cancer. This
medical discipline, which is known as radiometry, utilizes massive amounts of storage to
hold tens or even hundreds of millions of images. The architecture of storage systems to
hold these images is critical to the performance and throughput of radiometric solutions.
This webinar will explore different approaches to large-scale image retention, and how
these solutions can apply to other imagery-based fields beyond radiometry.