SAS Voices
News and views from the people who make SAS a great place to work
A government entity may use data from several departments, infrastructure from one provider and an AI model from another. But when the resulting decision affects the public, responsibility does not divide as neatly as the technology does. For government organizations, control over digital sovereignty is best understood as retaining the
Organizations are investing heavily to make AI more trustworthy: building governance programs, establishing AI policies, documenting models and investing in explainability tools. These are all important steps, but what if one of the biggest barriers to trustworthy AI lies somewhere else entirely? What if it's the data? The Data and
Technology modernization is disruptive even under ideal circumstances. But what happens when the business itself is already undergoing massive change? Recently, I spoke with a SAS account team that supported a global organization through a significant corporate transition. The company was separating from its parent organization and needed to establish