SAS on The Neuron: AI Explained

SAS has spent 50 years helping organizations make decisions they can trust. And as AI evolves from predictive models to large language models and now autonomous agents, that challenge is becoming even more important. We're starting to ask questions like, if I'm deploying AI that can make decisions, take actions, and interact with other systems, how do I govern it? SAS is built for this era of autonomous AI. Your AI governance approach should provide oversight of predictive models, LLMs, and increasingly autonomous agents. The list goes on. You need to monitor outputs for risk, track automated decisions, manage third-party models, and apply consistent controls across your AI. SAS focuses on using data and AI responsibly and effectively. giving organizations visibility into how AI systems behave, accountability for the decisions they make, and confidence that they align with business objectives and support regulatory readiness. Because as AI systems become more capable, trust becomes more valuable. Learn more at sas.com. That's S-A-S dot com. Now back to our show.