SAS System Engineer Sophia Rowland reveals how to embed decision flows into webpages and applications using the Microsoft Power Platform for a better customer experience.
SAS' Ghohui Wu shows you how to construct spatial weights matrices based on contiguity and distance measures, then shows how PROC CSPATIALREG automates spatial regression model selection.
SAS' Fijoy Vadakkumpadan, a computer vision expert, sheds light on how loadImages works in SAS Viya.
This is the second post in a series covering parallel processing in SAS Viya. The first post served as an introduction to parallel processing. It covered parallel processing uses in data science and the SAS Viya products that facilitate it. There are countless opportunities for using parallel processing within data
SAS System Engineer Sophia Rowland reveals how to embed decision flows into webpages and applications using APIs for a better customer experience.
The computer vision team was recently presented with the following challenge concerning image matching performance. An insurance company has the capability to submit claims and supporting materials digitally via an online interface. They need, however, to be able to detect when images already used in previous claims have been resubmitted
Learn how a computer vision application makes it safer, post-pandemic, for employees to return to factories.
SAS and Microsoft certifications can help with your professional and career development. And now, you can even take certification exams from the comfort of your own home.
Recently, we’ve released a new feature in ASTORE: score with multiple analytic stores. In the process, we may create multiple analytic stores with dependencies among them (the output of some analytic stores is an input to others). This feature streamlines the scoring process of multiple analytic stores. It enables the
With the SAS Visual Data Science Decisioning (VDSD) trial, you get the ultimate analytics experience with free access to all SAS Viya analytic capabilities for 14 days. SAS Visual Data Science Decisioning provides the ultimate experience covering the entire analytics lifecycle – from managing data, developing models, and deploying models to take decisions.
