SAS Voices
News and views from the people who make SAS a great place to work
The next phase in AI agent development may be shaped less by what we add than by what we learn to remove. We expect agent development to shift from building systems that can complete a task to systematically proving how well they do it and at what cost. Organizations will
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