SAS Voices
News and views from the people who make SAS a great place to work
AI systems have problems. They don’t always work right. They hallucinate, lie, or simply forget the all-important closing bracket in a JSON payload. AI systems need accountability, safeguards and oversight. But what should that look like? Human-in-the-loop (HITL) and its companion human-on-the-loop are in a nascent stage. These strategies, designed
Generative AI has stormed into the enterprise toolkit. According to the IDC Data and AI Impact Report: The Trust Imperative, commissioned by SAS, eight in ten organizations are already using it. It’s become a social phenomenon, too. Many have used GenAI tools like Copilot and ChatGPT, talked about their prompts
I've seen firsthand how companies often treat AI governance as a necessary evil – something bolted on after innovation, like installing smoke detectors in a finished building. As both a data scientist building models and an advocate pushing for responsible AI practices, I experienced this dynamic daily. The companies winning
As more organizations migrate work to the cloud, the conversation is moving from infrastructure requirements to the impact of cloud technologies. Organizations can see the benefits. IT teams are being freed up to focus on innovation and high-return projects. According to Gartner, cloud computing is a must for capitalizing on
Walk into any Southeast SAS User Group (SESUG) event and you’ll quickly realize it’s not just about the software. Yes, there are technical sessions, coding workshops and deep dives into data visualization. But what makes the conference resonate year after year isn’t simply the tools, it’s the people and the
Reinforcement learning is a framework that allows AI systems to learn from experience and make decisions in dynamic environments. One way to explore its potential is by training an AI agent to play a video game in real time. This controlled environment demonstrates principles that apply to everyday business challenges.