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Learn how SAS 9 customers can modernize to SAS Viya incrementally, leveraging AI assistance, agentic AI, open-source collaboration, and scalable cloud deployment while preserving existing SAS investments and governance.
Is the roof over your head about to cave in? Did you just change jobs, get married or start planning for retirement? In situations like these, most people think about their insurance. Life changes are a great time to evaluate insurance coverage (for customers and insurance companies alike), but waiting
Editor’s note: This post was co-authored by Diana Rothfuss. For the past few years, banks have focused on proving that AI can deliver business value. Across financial services, organizations have launched pilots, explored generative AI use cases and tested how AI can improve everything from customer engagement and fraud detection
Organizations have spent years investing in data, analytics and AI. Many now have dashboards, predictive models and generative AI tools. Yet one challenge continues to surface: turning those insights into timely, consistent decisions. That’s one reason decision intelligence is getting more attention. As AI becomes part of everyday business, organizations
Mientras millones de personas siguen atentos cada partido, analizan alineaciones y debaten sobre las posibilidades de sus selecciones favoritas, existen diferentes factores cada vez más influyentes en los resultados dentro y fuera de la cancha: los datos, la Inteligencia Artificial (IA) y la analítica. El fútbol moderno ya no se
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
The kernel density estimate (KDE) is a powerful tool for estimating the density of univariate data. The KDE is a flexible model. For example, it can fit data distributions that are multimodal or have long tails. It is nonparametric, which means that you do not need to assume any form
Every evolution in analytics raises a new question. Once one source of friction disappears, another becomes the opportunity. In the first blog in this series, we explored how SAS® Visual Analytics helps organizations move from data to decisions through interactive visualizations, advanced analytics and enterprise governance. In the second and
Authors: Subbu Pazhani and Rob Pratt In a recent post, we demonstrated how Simulated Annealing (SA) can be used to solve the Traveling Salesman Problem (TSP) by using SAS Optimization. In this post, we extend that discussion by exploring how the Ant Colony Optimization (ACO) metaheuristic can be applied to the same problem
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
When people talk about gut health, they often jump straight to probiotics, skipping over the foundation — feeding existing gut microbes a wide selection of plant foods. A variety of plants offer different fibers, resistant starches, and polyphenols that fuel beneficial microorganisms and support a diverse, resilient microbiome. In recent
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,
Pareto charts are used by quality engineers to visually display a set of causes that produce defects in a manufacturing process. The chart is based on the famous Pareto Principle (the 80/20 rule), which states that 20% of the causes often produce 80% of the defects. If you focus on