How to build predictive health care AI from data to decision
A hospital discharge summary tells you what happened. A predictive model tells you what is about to happen. That distinction is the difference between reactive
Gut housekeeping: how to support your migrating motor complex
Most of us think about digestion only shortly after we eat or if we experience gastrointestinal symptoms, but our guts are busy clearing leftover food
A route to uncover Alzheimer’s two years earlier: How SAS Viya is helping clinicians and patients with AI
The question in AI has shifted from “can we build a model?” to “can we trust it, govern it and put it to work?” DementAI
From SAS 9 to SAS Viya: Modernize analytics without starting over
For many organizations, SAS 9 is more than just an analytics platform. It is an integral part of how critical decisions get made every day,
Kernel density estimates for positive data
The kernel density estimate (KDE) is a powerful tool for estimating the density of univariate data. The KDE is a flexible model. For example,
Ant Colony Optimization metaheuristic in SAS Optimization
Authors: Subbu Pazhani and Rob Pratt In a recent post, we demonstrated how Simulated Annealing (SA) can be used to solve the Traveling Salesman Problem (TSP) by using
Understanding humans’ value in work
What if the real disruption in AI isn’t that machines are becoming more capable but that we’re quietly redefining work in ways that make humans less so? It’s an uncomfortable question.
What one of SAS’ earliest customers remembers 50 years later
Fifty years later, Barry Merrill still remembers where it all started. In an interview, Merrill reflected on discovering SAS through a small notice in Datamation
How one SAS partner turned analytics into an interactive experience
Conference demos often struggle with the same challenge: showing people what technology can do without asking them to sit through another product presentation. At SAS
Agentic AI in banking: Turning customer insights into action
When good insights lead to confusing experiences Banks know a lot about their customers. They know how often someone logs in, what products they use,
