Susan is a global product marketing manager at SAS, focused on helping customers explore the possibilities of SAS Viya. With a Ph.D. in Human Factors and Ergonomics, she brings a unique perspective on how people learn, work and interact with technology. Her background spans user-centered design, product management, customer insights and operational risk, giving her a practical view of how analytics can improve experiences and drive better outcomes.
An analyst report offers an unbiased, side-by-side, third-party evaluation of the technology in the market. These analysts know how to put the vendors through the paces and require proof of any claims that are made.
An embedding model is a way to reduce the dimensionality of input data, such as images. Consider this to be a type of data preparation applied to image analysis. When an embedding model is used, input images are converted into low-dimensional vectors that can be more easily used by other computer vision tasks. The key to good embedding is to train the model so that similar images are converted to similar vectors.
I spoke with Antonie Berkel and Dr. Joost Huiskens about a systems analysis project for the design of a clinical decision support system (CDSS) which integrates computer vision to help radiologists monitor the progression of tumors.
