SAS Voices
News and views from the people who make SAS a great place to work
“It’s not a technology problem. It’s a process problem.” “It’s not an accuracy issue. It’s an adoption issue.” “It’s not the model. It’s the human.” Sound familiar? I hear these arguments all the time. But here’s the reality: generative AI has an accuracy problem. In fact, it is well documented
Run the same analysis on the same data. You should get the same result. Every time. In clinical research, that simply isn’t a best practice. It’s a regulatory expectation. Yet, a surprising number of clinical research teams still rely on individual analysts, local computing environments and manual documentation to ensure
A model can finish running in seconds. Understanding what it is telling you can take much longer. A fit statistic signals how well a model performs. A residual plot reveals whether assumptions hold. A decision tree shows how observations are split into groups. But before any of that can support