Editors note: This is the first in a series of articles. According to the Global McKinsey Survey on the State of AI in 2021, the adoption of AI is continuing to grow at an unprecedented rate. Fifty-six percent of all respondents reported AI adoption – including machine learning (ML) – […]
How ModelOps addresses your biggest machine learning challenges was published on SAS Users.
See how intelligent decisioning and machine learning from SAS and Microsoft help a fictitious banking customer simplify and reduce risk in its home loan portfolio.
Transforming Your Business With SAS® Viya® on Microsoft Azure was published on SAS Users.
Some business models will segment the worth of their customers into categories that will often give different levels of service to the more “higher worth” customers. The metric most often used for that is called Customer Lifetime Value (CLV). CLV is simply a balance sheet look at the total cost spent versus the total revenue earned over a customer’s projected tenure or “life.”
How to utilize Customer Lifetime Value with SAS Visual Analytics was published on SAS Users.
Editor’s Note: This article was translated and edited by SAS USA and was originally written by Makoto Unemi. The original text is here. SAS previously provided SAS Scripting Wrapper for Analytics Transfer (SWAT), a package for using SAS Viya functions from various general-purpose programming languages such as Python. In addition […]
SAS Viya: Package for Python API for deep learning and image processing: DLPy was published on SAS Users.
Structuring a highly unstructured data source Human language is astoundingly complex and diverse. We express ourselves in infinite ways. It can be very difficult to model and extract meaning from both written and spoken language. Usually the most meaningful analysis uses a number of techniques. While supervised and unsupervised learning, […]
Text analytics explained was published on SAS Users.
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 […]
How SAS Visual Analytics’ automated analysis takes customer care to the next level – Part 3 was published on SAS Users.