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
Most conversations about agentic AI focus on how autonomous these systems can become. Financial services leaders are asking a different question: Where should autonomy stop? For banks and insurers, the challenge is not simply deploying AI agents. It is determining how those systems, governance requirements and human expertise can work
For 50 years, SAS has worked alongside organizations tackling some of the world’s most complex challenges. While the technology has changed dramatically, one thing remains constant: our customers’ commitment to solving problems, improving outcomes and making a meaningful difference. In the first half of 2026, we shared 26 new customer
