SAS Voices
News and views from the people who make SAS a great place to work
AI gets the spotlight. Data does the work. Across industries, organizations are racing to adopt large language models (LLMs), build AI assistants and explore autonomous agents. This ambition is understandable. AI promises faster decisions, new efficiencies and entirely new ways of working. But amid the excitement, many leaders are overlooking
Small and midsized businesses are entering a defining period for AI adoption. Data, analytics and AI platforms are becoming essential for organizations that want to compete, adapt and grow. These technologies can help smaller businesses improve decisions, automate processes and respond more quickly to changing customer needs. But access to
Organizations have spent the past few years experimenting with AI. The question now isn't whether AI can generate insights. It's whether organizations can consistently turn those insights into business decisions that create measurable value. That's where many AI initiatives stall. Models perform well in development but never make it to