SAS Voices
News and views from the people who make SAS a great place to work
We see headlines about misbehaving chatbots, fictitious reports, and systemic fairness issues. Yet AI risks are neither unexpected nor unforeseeable. They stem from a combination of well-known but underestimated risks across ethics, data security and legal topics. These are not black swans, but grey swans. Recognizing this shift in perspective
Most analytics stories don’t start with technology. They start with a moment of friction. A meeting where two dashboards disagree. A decision that feels urgent, but the data arrives too late. A report that technically answers a question but doesn’t inspire confidence. That’s usually when organizations realize they don’t just
Building a machine learning pipeline in SAS® Model Studio is rarely a straight line. You start with a goal in mind but quickly find yourself navigating many decisions: understanding the nuances of your data, identifying and fixing data quality issues, choosing models for the task and evaluating training results to