SAS Voices
News and views from the people who make SAS a great place to work
The conversation around AI agents has moved remarkably fast. Just two years ago, organizations were experimenting with generative AI through chat interfaces and copilots. Today, many are exploring autonomous and semi-autonomous agents capable of reasoning, making decisions, interacting with systems and executing business processes. As organizations look beyond that, they’re
AI copilots are quickly becoming part of how people work with data, analytics and AI. But the real test isn't whether they can generate an answer. It's whether they can help people move faster without sacrificing transparency, oversight or trust. Organizations are under increasing pressure to turn data into decisions
When organizations modernize their data and analytics environments, the conversation can quickly become framed as a choice: keep the established platform or replace it with something new. But that framing can obscure the questions that matter most. Which workloads are supporting critical business decisions? What intellectual property has been built