In my blog series regarding SAS REST APIs (you can read all of my posts on this topic here) I outlined how to integrate SAS analytical capabilities into applications. I detailed how to construct REST calls, build body parameters and interpret the responses. I've not yet covered authentication for the
You'll notice several changes in SAS Grid Manager with the release of SAS 9.4M6. This post gives a brief architectural description of the new SAS grid provider, including all major components and their role.
Learn about the latest product features, changes and upgrade information in new sections of SAS product documentation for SAS® 9.4 and SAS® Viya®. SAS' Kathryn McLawhorn tells us all about them.
Amidst the growing popularity of modern machine learning and deep learning techniques, one of the biggest challenges is the ability to obtain large amounts of training data suitable for your use case. This post discusses how the analytical approach for Named Entity Recognition (NER) can help.
In the second of three posts on using automated analysis with SAS Visual Analytics, we used the automated analysis object to get a better understanding of our variable of interest, X-Sell and Up-sell Flag, and how it is influenced by other variables in our dataset. In this third and final
AI seems to be mentioned everywhere these days. But how can AI be used in day-to-day work? Here, Katherine Taylor explains an example of "practical AI" in banking using SAS Visual Data Mining and Machine Learning. She'll explore more business problems and industries in future posts.