Many AI initiatives don’t stall because of the models – they stall because of the data behind them. Teams can build promising prototypes, but moving those models into production is where progress slows down. Data is spread across systems, pipelines are difficult to maintain and governance often lags behind how
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
Organizations know AI is important. They’re investing in it, encouraging teams to use it and looking for ways to scale its value. But many organizations are still struggling to turn that priority into governed, scalable action. Leaders are left scrambling to feel confident about whether AI is being used responsibly, creating a widening gap between what leaders want from AI – innovation, efficiency and competitive
For years, the assumption has been that AI would primarily benefit the largest banks – those with the biggest technology budgets, the deepest talent pools and the resources to experiment at scale. But AI may be creating a different kind of competition. While large banks continue to invest billions in
What if the real disruption in AI isn’t that machines are becoming more capable but that we’re quietly redefining work in ways that make humans less so? It’s an uncomfortable question. But it sits at the center of nearly every conversation about productivity, automation and the future of work. Across industries, work is increasingly framed in terms machines can understand: outputs, efficiency gains,
Conference demos often struggle with the same challenge: showing people what technology can do without asking them to sit through another product presentation. At SAS Innovate 2026, SAS partner Notilyze took a different approach. Rather than leading with a traditional demonstration, Notilyze showcased an interactive soccer game that encouraged attendees
Fifty years later, Barry Merrill still remembers where it all started. In an interview, Merrill reflected on discovering SAS through a small notice in Datamation magazine. At the time, the software was new, largely unknown and available for $100. "North Carolina State University's statistics department announces the availability of the
AI adoption continues to accelerate, but not everyone approaches AI the same way. Some people experiment with every new tool they encounter. Others prioritize governance, trust and oversight. Some focus on business outcomes, while others are driven by curiosity and exploration. These differences matter. How you engage with AI influences
AI agents are moving beyond individual productivity and into government operations. According to Gartner, at least 80% of governments will deploy AI agents to automate routine decision-making, enhancing efficiency and service delivery by 2028. Because of this, government leaders are challenged to determine where they can deliver value with AI agents while maintaining public trust. Their
Most organizations are struggling to use AI insights. Even as it’s been easier than ever to produce predictions, recommendations and scores, many data science and business teams end up with a stockpile of unused information that doesn’t drive meaningful transformation. Decision intelligence helps organizations bridge that gap by embedding insights
